Development of Virtual Lab System through Application of Fuzzy Analytic Hierarchy Process

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Development of Virtual Lab System through Application of Fuzzy Analytic Hierarchy Process"

Transcription

1 Development of Virtual Lab System through Application of Fuzzy Analytic Hierarchy Process Chun Yong Chong, Sai Peck Lee, Teck Chaw Ling Faculty of Computer Science and Information Technology, University of Malaya Malaysia Abstract Virtual lab has gained popularity among cloud computing practitioners due to its promise of on-demand provisioning of computer resources. However, lack of standardized guidelines hinders the adoption among educational institutions. Achievements of non-functional requirements possess greater challenge due to their qualitative nature. These requirements can be achieved by applying guidelines during software development. However, priority assessment of non-functional requirements is needed before the selection of suitable guidelines. This paper tries to apply fuzzy analytic hierarchy process in order to aggregate group decisions, as well as dealing with ambiguities of decision makers judgement. The application of fuzzy analytic approach in this paper had successful create a solid foundation for software developers to identify the essential non-functional requirement in virtual lab environment. Importantly, the result can provide a promising reference model for better understanding of cloud computing in educational sector. Keyword virtual lab, non-functional requirement, priority assessment I. INTRODUCTION The emergence of cloud computing introduces new options for small medium enterprises, as well as IT industry giants to generate decent revenue and exploration of new marketing strategies. Cloud computing has evolved the way how software are purchased and provided in a very cost effective way. Apart from pushing corporate business to the next level of growth, cloud computing also has strong potential in the education sector especially in terms of setting up a virtual lab environment. There are several initiatives from higher education institution that had successfully integrated virtual lab into their universities [1]. These projects are aiming at providing on-demand cloud computing services through efficient use of available hardware resources. Users are able to access on-demand computational, storage and software resources The success implementation of virtual lab draws attention to higher education sector as in how to make use of cloud computing to improve the way of educating future generations [2]. Virtual lab is capable of providing numerous benefits to higher education institutions. First of all, universities are able to cut down expenses in purchasing hardware and software through virtualization technology. All they need are simply a thin client that is capable of establish a remote connection with a designated server hosting the virtual lab. Besides that, universities are able to avoid over-utilization or under-utilization of hardware resources by modifying virtual machine hardware specification on the fly. This indirectly contributes to green computing due to the fact that under-utilization of computing resources is to be kept minimum. Wastage of power consumption caused by idle computing resources can be avoided. Despite the fact that cloud computing had proven to be beneficial in the education sector, to come out with a good system design and implementation is one of the biggest challenges faced by most of the earlier adopters. Shifting into cloud computing does not make success inevitable, proper planning does. In order to successfully transition to this new environment, system based on cloud environment must be developed with a certain level of software quality besides fulfilling their functional requirements [3]. Software quality implies how the system should behave besides having all the essential functionalities. Fulfilling both functional and non-functional requirements is a demanding task especially when stepping into a new field. II. RELATED WORK There are typically two challenges in requirement engineering. Firstly, software requirements are usually imprecise and define qualitatively. Customers often specify their requirements verbally making the requirements capturing process less effective. Besides that, quality attribute requirements often conflict with each other. For example, designing a system that is extremely secure will inevitably cause negative impact on the performance quality. This kind of 207

2 dilemma has to be identified in the early stage of system design so that stakeholders are aware of the trade-off. Priority analysis is one of the conflict resolution techniques to resolve trade-off between conflicting quality requirements. The relative priority and importance of quality requirements plays a significant role. However, it is often difficult for stakeholders to directly provide the priorities for all quality requirements due to the multifaceted relationship between each other. The nature of prioritizing quality attribute requirements is a multi-criteria decision-making (MCDM) problem. MCDM is a research of methods and procedures by which concerns about evaluating multiple conflicting criteria and derive a way to come to a compromise. This set of criteria often differs in the degree of importance. Analytic Hierarchy Process (AHP) has been a tool that is widely used and adopted by decision makers and researchers to aid in priority analysis [4]. AHP works by taking judgmental input from a group of decision makers and construct a hierarchy of criteria according to their priority. The simplest form of prioritizing criteria in AHP is based on nine-point scale, which expresses preferences between options ranging from equal importance to extreme importance. Regardless of the popularity, AHP is less effective when handling imprecision and uncertainties associated with human judgment. Natural language tends to be ambiguous and vague. It is extremely hard to implement AHP when there are no method to synthesise human s judgement into exact numerical values. Thus, in order to deal with the uncertainties and vagueness of human s judgement, scholar and researchers came out with a modified version of AHP known as fuzzy AHP [5] which incorporates fuzzy set theory introduced by Zadeh [6]. Fuzzy set theory is capable of accepting crisp input, or in this case, uncertain judgement from decision makers. After accepting crisp inputs, fuzzy set theory then determines the degree to which these inputs belong to the appropriate fuzzy sets. This process will then be followed by defuzzification process, which produces a quantifiable result normally in the form of numerical value. By integrating fuzzy set theory, AHP is capable of handling the fuzziness of the data involved in decision making efficiently. Based on the discussion above, it is clear that requirement specification and architecture design phase is crucial to produce high quality software. Software quality attributes are to be specified in the early stage of development. Software engineers can then tailor the software based on the requirements captured beforehand. Nevertheless, during the implementation and deployment phase, developers have to make sure that the stated quality attributes must be present in the system. III. PRIORITY ASSESSMENT OF VIRTUAL LAB IN EDUCATION SECTOR This paper will start off by using fuzzy AHP method discussed above. Fuzzy AHP method will be conducted in order to perform priority assessment of software quality attributes for the development of virtual lab. In both traditional and fuzzy AHP, the process starts by modeling a hierarchy of decisions based on the problem domain. The top of the hierarchy consist of the goal for conducting the test, followed by a group of possible choices to achieve that particular goal. The choices can be further divided into sub-criteria if required. The problem domain for this paper is focusing on virtual lab environment in education sector. The selection of evaluation criteria is based on ISO/IEC 9126 Software Quality which includes six main criteria: Functionality, Reliability, Usability, Efficiency, Maintainability, and Portability [7]. However, since numerous research indicate that the main concern in cloud computing is security, the chosen ISO/IEC 9126 standard is extended to fit into this context. Security is brought out as one of the main criteria for evaluation, thus making the total number of evaluation to seven. A pair-wise comparison among all the possible choices will be conducted to justify the importance between them. Each choice is associated with a weightage in order to reflect the priority of each choice toward the ultimate goal. Decision makers will perform a pair-wise comparison and give weightage using a nine-point scale ranging from 1-9, where a greater value represents higher importance. In order to reach a consensus among the decision makers, triangular fuzzy number (TFN) is used. TFN is capable of aggregating the subjective opinions of all the decision makers through fuzzy set theory. The triangular fuzzy number Txy is constructed using the following formula (1)-(3): where x and y represent a pair of criteria being judged by decision makers. Jxya represents an opinion of decision maker a toward the relative importance for criteria Cx- Cy. As we can see from formula (2), value Mxy is produce by calculating the geometric mean of decision makers scores for a particular comparison. The geometric mean is capable of accurately aggregating and representing the consensus of decision makers[4]. After getting the TFN value for every pair of comparison, a fuzzy pair-wise comparison matrix is established in the form of n x n matrix. Table 1 illustrates an example of the matrix. Table 1: Fuzzy pair-wise comparison matrix C a C b.. C n C a 1 p ab.. p an C b 1/p ab 1.. p bn C n 1/p an 1/p bn.. 1 p ab represents the triangular fuzzy number for the comparison between criteria C a and C b. Comparison between criteria C b to C a is the reverse of C a to C b, thus making the TFN value for C b to C a to be represented as 1/p ab. denotes the TFN value derived from formula (1)-(3) 208

3 Table 2: Fuzzy pair-wise comparison matrix based on accumulated judgement Functionality Reliability Usability Efficiency Maintainability Portability Security Functionality 1 1/4, 1.637, 5 1/6, 1.37, 5 1/7, 1.387, 9 1/5, 1.58, 9 1/7, 1.321, 7 1/9, 0.865, 4 Reliability 1 1/3, 1.488, 5 1/3, 1.675, 7 1/7, 1.304, 5 1/4, 1.16, 7 1/5, 0.861, 9 Usability 1 1/5, 1.062, 5 1/7, 1.508, 9 1/3, 1.13, 7 1/5, 0.861, 9 Efficiency 1 1/3, 2.433, 7 1/4, 1.203, 5 1/7, 1.134, 9 Maintainability 1 1/7, , 5 1/7, 0.655, 4 Portability 1 1/9, , 9 Security 1 The stakeholders who participate in this evaluation include university students and developers who have experiences in cloud computing development. Twenty participants were chosen to ensure the consistency of AHP testing. As discussed by Aull-Hyde and co-author [8], under the condition when comparison matrix size (number of criteria to be evaluated) is 6x6, the group size threshold to achieve acceptable level of inconsistency is twenty participants. This means that as long as the numbers of participants are more than twenty people, one can ensure that the aggregated results will be consistent and revision of judgement is not needed. Each participant was instructed to perform pair-wise comparison and give their judgement based on the relative score of 1-9. The triangular fuzzy numbers were established using formula (1)-(3) and tabulated into a comparison matrix shown in Table 2. The lower side of the matrix was intentionally left blank because it carries insignificant value before defuzzification of TFN value. Following the construction of comparison matrix, defuzzification will take place to produce a quantifiable value based on the calculated TFN value. The defuzzification method adopted in this paper was derived from Lious and Wang shown in formula (4) which is based on the alpha cut manner [9]. and ( ) [ ] (4) On the other hand, represent the right-end boundary value of alpha cut for. and in this context carry the meaning of preferences and risk tolerance of decision makers. These two values range between 0 and 1, in such a way that a lesser value indicates greater uncertainty in decision making. Since preferences and risk tolerance is not the focus of this paper, value of 0.5 for and will be used to represent a balance environment. This indicates that decision makers are neither extremely optimistic nor pessimistic about their judgments. The results from Table 2 were then synthesized using formula (4) with and at 0.5. An example of calculation is shown below for the pair Functionality-Reliability: ( ) ( ) Table 3 represents the result of fuzzy pair-wise comparison after defuzzification process. such that, which represents the left-end boundary value of alpha cut for. 209

4 Table 3: Aggregated fuzzy pair-wise comparison matrix Functionality Reliability Usability Efficiency Maintainability Portability Security Functionality Reliability Usability Efficiency Maintainability Portability Security The next step is to determine eigenvalue and eigenvector of the fuzzy pair-wise comparison matrix. The purpose of calculating eigenvector is to determine the aggregated weightage of particular criteria. Assume that denotes the eigenvector while denotes the eigenvalue of fuzzy pair-wise comparison matrix, [ ( ) ] (5) Formula (5) is based on the linear transformation of vectors, where I represent the unitary matrix. By applying formula (1)-(5), the weightage of particular criteria with respect to all other possible criteria can be acquired. The eigenvectors of associated non-functional requirements in virtual lab were then calculated using formula (5). [ ( ) ] Multiplying eigenvalue with unitary matrix I produce an identity matrix that nullifies each other. Thus, applying formula (5) results in The aggregated result in terms of weightage is tabulated in Table 4. The results obtained are ordered as follows: Functionality (0.257), Reliability (0.192), Usability (0.148), Efficiency (0.121), Security (0.107), Maintainability (0.103), and Portability (0.072). Table 4: Weightage and priority of selected criteria Priority Quality Attribute Weightage 1 Functionality Reliability Usability Efficiency Security Maintainability Portability The result gathered from fuzzy AHP will act as a baseline to model the system architecture for virtual lab system. Attribute-driven design for instance, requires non-functional requirements to be stated explicitly in order to design system architecture. This paper will focus on how to achieve higher software quality through better fulfillment in non-functional attributes. IV. DISCUSSION The result from priority assessment implies that stakeholder emphasis more on the fulfilment of functionality. They are concern on whether or not the virtual lab is capable of delivering appropriate functions to serve the users. Reliability is also a major concern based on the results. The idea behind virtual lab is that users are able to remote access computing resource regardless of location, as long as they have an Internet connection and a web browser. Thus, the system must be extremely reliable and maintain high availability in order to fulfil the user s request. Security on the other hand, falls in 210

5 priority five. This phenomenon is due to the nature of virtual lab, which is normally deployed in private cloud environment and does not involve money transaction. The priority assessment is based on fuzzy AHP approach, which works effectively in aggregating group decisions. Prioritizing requirements usually fail because the involvement of multiple qualitative criteria and scoring on subjective problems. Fuzzy AHP is a suitable evaluation framework capable of handling MCDM problem and uncertain inputs. Applying fuzzy AHP approach in the virtual lab environment not only enables stakeholders to prioritize requirements, but also helps in dealing with disagreement among stakeholders. The aggregated results obtained from priority assessment of software quality is based on the assumption that value and = 0.5 using alpha-cut method. Value and are very much dependent on environmental uncertainties. These values will directly affect the weight of individual criteria and priority ranking. If the participants involved in priority assessment have strong background knowledge on virtual lab, value of and can be increase to indicate a confident judgment. In-depth research and analysis is needed in order to determine the value of and accurately. The accurateness of results using fuzzy AHP can be further improved by investigating the impact of and value toward the weightage of associated non-functional requirements. Conventional methods to aggregate diverse stakeholders opinions such as interviews, questionnaire, and intuitive approach are less effective and bias. This is because the accuracy of interview and intuitive approach are very much depending on the experience of the facilitator. Furthermore, it is very hard for inexperience facilitator to create an effective questionnaire that is capable of cater each and every requirement. On the other hand, the fuzzy AHP approach is capable of minimize bias and maximize accuracy through the usage of fuzzy triangular number. The results from fuzzy AHP can assists in selection of appropriate guidelines to achieve the desire quality attributes. Software engineers can select sets of guidelines that are homogeneous in such a way that does not have conflicting and overlapping relationships with one another based on the prioritization result. By applying these suitable guidelines, software developers will less likely need to reason about all the complexity behind the associated quality attributes. capturing stakeholders requirements and achievement of multiple software quality attributes in a virtual lab environment. This paper has made several contributions toward the establishment of virtual lab in education sector. Software developers able to pinpoint the essential quality attribute to ensure the success implementation of virtual lab solution. This will enable software developers to concentrate on the most important quality requirements and achieve high satisfaction among stakeholders. However, it is to be noted that the implementation of proposed approach is based on a virtual lab case study. The results will differ depending on the experiences and knowledge of participants. Further work can be considered by involving subject matter experts from different higher education institutions across the world. The aggregated opinions from experts around the world can be used to model the system architecture for virtual lab through attribute-driven design. Eventually, the system architecture can act as a standardized framework to introduce virtual lab solution in the educational sector. REFERENCES [1] H. E. Schaffer, S. F. Averitt, M. I. Hoit, A. Peeler, E. D. Sills, and M. A. Vouk, "NCSU's Virtual Computing Lab: A Cloud Computing Solution," Computer, vol. 42, pp , [2] T. Ercan, "Effective use of cloud computing in educational institutions," Procedia - Social and Behavioral Sciences, vol. 2, pp , [3] S. H. Kan, Metrics and models in software quality engineering, 2nd ed. Boston: Addison-Wesley, [4] T. L. Saaty, The analytic hierarchy process : planning, priority setting, resource allocation. New York ; London: McGraw-Hill International Book Co., [5] P. J. M. van Laarhoven and W. Pedrycz, "A fuzzy extension of Saaty's priority theory," Fuzzy Sets and Systems, vol. 11, pp , [6] L. A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, pp , [7] ISO/IEC-9126, "Software engineering - Product Quality," ed, [8] R. Aull-Hyde, S. Erdogan, and J. M. Duke, "An experiment on the consistency of aggregated comparison matrices in AHP," European Journal of Operational Research, vol. 171, pp , [9] T.-S. Liou and M.-J. J. Wang, "Ranking fuzzy numbers with integral value," Fuzzy Sets Syst., vol. 50, pp , V. CONCLUSION AND FUTURE WORK Prioritization of quality requirements plays an important role to help software developers focus on fulfilling higher priority quality within the limited budget and time. However stakeholders often specify requirements quantitatively using some natural language. Judgments of stakeholders are usually subjective and ambiguous. Even if quality requirements can be prioritized, most of the software engineers only look into one quality attribute at one time, neglecting the contradicting effects among each quality attribute. The fact is that most of the software systems are required to have multiple software quality attributes at the same time. This paper addresses the problem of 211

Faculty of Computer Science and Information Technology, University of Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia

Faculty of Computer Science and Information Technology, University of Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia PRIORITIZING AND FULFILLING QUALITY ATTRIBUTES FOR VIRTUAL LAB DEVELOPMENT THROUGH APPLICATION OF FUZZY ANALYTIC HIERARCHY PROCESS AND SOFTWARE DEVELOPMENT GUIDELINES Chun Yong Chong 1, Sai Peck Lee 2,

More information

A Fuzzy AHP based Multi-criteria Decision-making Model to Select a Cloud Service

A Fuzzy AHP based Multi-criteria Decision-making Model to Select a Cloud Service Vol.8, No.3 (2014), pp.175-180 http://dx.doi.org/10.14257/ijsh.2014.8.3.16 A Fuzzy AHP based Multi-criteria Decision-making Model to Select a Cloud Service Hong-Kyu Kwon 1 and Kwang-Kyu Seo 2* 1 Department

More information

Maintainability Estimation of Component Based Software Development Using Fuzzy AHP

Maintainability Estimation of Component Based Software Development Using Fuzzy AHP International journal of Emerging Trends in Science and Technology Maintainability Estimation of Component Based Software Development Using Fuzzy AHP Author Sengar Dipti School of Computing Science, Galgotias

More information

Comparative Analysis of FAHP and FTOPSIS Method for Evaluation of Different Domains

Comparative Analysis of FAHP and FTOPSIS Method for Evaluation of Different Domains International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) August 2015, PP 58-62 ISSN 2349-4840 (Print) & ISSN 2349-4859 (Online) www.arcjournals.org Comparative Analysis of

More information

A REVIEW AND CRITIQUE OF HYBRID MADM METHODS APPLICATION IN REAL BUSINESS

A REVIEW AND CRITIQUE OF HYBRID MADM METHODS APPLICATION IN REAL BUSINESS Application in Real Business, 2014, Washington D.C., U.S.A. A REVIEW AND CRITIQUE OF HYBRID MADM METHODS APPLICATION IN REAL BUSINESS Jiri Franek Faculty of Economics VSB-Technical University of Ostrava

More information

Chapter 4 SUPPLY CHAIN PERFORMANCE MEASUREMENT USING ANALYTIC HIERARCHY PROCESS METHODOLOGY

Chapter 4 SUPPLY CHAIN PERFORMANCE MEASUREMENT USING ANALYTIC HIERARCHY PROCESS METHODOLOGY Chapter 4 SUPPLY CHAIN PERFORMANCE MEASUREMENT USING ANALYTIC HIERARCHY PROCESS METHODOLOGY This chapter highlights on supply chain performance measurement using one of the renowned modelling technique

More information

Performance Management for Inter-organization Information Systems Performance: Using the Balanced Scorecard and the Fuzzy Analytic Hierarchy Process

Performance Management for Inter-organization Information Systems Performance: Using the Balanced Scorecard and the Fuzzy Analytic Hierarchy Process Performance Management for Inter-organization Information Systems Performance: Using the Balanced Scorecard and the Fuzzy Analytic Hierarchy Process Y. H. Liang Department of Information Management, I-SHOU

More information

SUPPLY CHAIN MANAGEMENT AND A STUDY ON SUPPLIER SELECTION in TURKEY

SUPPLY CHAIN MANAGEMENT AND A STUDY ON SUPPLIER SELECTION in TURKEY SUPPLY CHAIN MANAGEMENT AND A STUDY ON SUPPLIER SELECTION in TURKEY Pelin Alcan, Hüseyin Başlıgil, Melih Coşkun Yildiz Technical University, Besiktas, İstanbul, Turkey Abstract This study mainly focuses

More information

A Multi-Criteria Decision-making Model for an IaaS Provider Selection

A Multi-Criteria Decision-making Model for an IaaS Provider Selection A Multi-Criteria Decision-making Model for an IaaS Provider Selection Problem 1 Sangwon Lee, 2 Kwang-Kyu Seo 1, First Author Department of Industrial & Management Engineering, Hanyang University ERICA,

More information

How to do AHP analysis in Excel

How to do AHP analysis in Excel How to do AHP analysis in Excel Khwanruthai BUNRUAMKAEW (D) Division of Spatial Information Science Graduate School of Life and Environmental Sciences University of Tsukuba ( March 1 st, 01) The Analytical

More information

INVOLVING STAKEHOLDERS IN THE SELECTION OF A PROJECT AND PORTFOLIO MANAGEMENT TOOL

INVOLVING STAKEHOLDERS IN THE SELECTION OF A PROJECT AND PORTFOLIO MANAGEMENT TOOL INVOLVING STAKEHOLDERS IN THE SELECTION OF A PROJECT AND PORTFOLIO MANAGEMENT TOOL Vassilis C. Gerogiannis Department of Project Management, Technological Research Center of Thessaly, Technological Education

More information

Selection of Database Management System with Fuzzy-AHP for Electronic Medical Record

Selection of Database Management System with Fuzzy-AHP for Electronic Medical Record I.J. Information Engineering and Electronic Business, 205, 5, -6 Published Online September 205 in MECS (http://www.mecs-press.org/) DOI: 0.585/ijieeb.205.05.0 Selection of Database Management System with

More information

Multi-Criteria Decision-Making Using the Analytic Hierarchy Process for Wicked Risk Problems

Multi-Criteria Decision-Making Using the Analytic Hierarchy Process for Wicked Risk Problems Multi-Criteria Decision-Making Using the Analytic Hierarchy Process for Wicked Risk Problems Introduction It has become more and more difficult to see the world around us in a uni-dimensional way and to

More information

An Evaluation Model for Determining Insurance Policy Using AHP and Fuzzy Logic: Case Studies of Life and Annuity Insurances

An Evaluation Model for Determining Insurance Policy Using AHP and Fuzzy Logic: Case Studies of Life and Annuity Insurances Proceedings of the 8th WSEAS International Conference on Fuzzy Systems, Vancouver, British Columbia, Canada, June 19-21, 2007 126 An Evaluation Model for Determining Insurance Policy Using AHP and Fuzzy

More information

Applying the Analytic Hierarchy Process to Health Decision Making: Deriving Priority Weights

Applying the Analytic Hierarchy Process to Health Decision Making: Deriving Priority Weights Applying the to Health Decision Making: Deriving Priority Weights Tomás Aragón, MD, DrPH Principal Investigator, Cal PREPARE,. CIDER UC Berkeley School of Public Health Health Officer, City & County of

More information

ANALYTIC HIERARCHY PROCESS (AHP) TUTORIAL

ANALYTIC HIERARCHY PROCESS (AHP) TUTORIAL Kardi Teknomo ANALYTIC HIERARCHY PROCESS (AHP) TUTORIAL Revoledu.com Table of Contents Analytic Hierarchy Process (AHP) Tutorial... 1 Multi Criteria Decision Making... 1 Cross Tabulation... 2 Evaluation

More information

Approaches to Qualitative Evaluation of the Software Quality Attributes: Overview

Approaches to Qualitative Evaluation of the Software Quality Attributes: Overview 4th International Conference on Software Methodologies, Tools and Techniques Approaches to Qualitative Evaluation of the Software Quality Attributes: Overview Presented by: Denis Kozlov Department of Computer

More information

Using Analytic Hierarchy Process (AHP) Method to Prioritise Human Resources in Substitution Problem

Using Analytic Hierarchy Process (AHP) Method to Prioritise Human Resources in Substitution Problem Using Analytic Hierarchy Process (AHP) Method to Raymond Ho-Leung TSOI Software Quality Institute Griffith University *Email:hltsoi@hotmail.com Abstract In general, software project development is often

More information

The Analytic Hierarchy Process. Danny Hahn

The Analytic Hierarchy Process. Danny Hahn The Analytic Hierarchy Process Danny Hahn The Analytic Hierarchy Process (AHP) A Decision Support Tool developed in the 1970s by Thomas L. Saaty, an American mathematician, currently University Chair,

More information

ENHANCEMENT OF FINANCIAL RISK MANAGEMENT WITH THE AID OF ANALYTIC HIERARCHY PROCESS

ENHANCEMENT OF FINANCIAL RISK MANAGEMENT WITH THE AID OF ANALYTIC HIERARCHY PROCESS ISAHP 2005, Honolulu, Hawaii, July 8-10, 2003 ENHANCEMENT OF FINANCIAL RISK MANAGEMENT WITH THE AID OF ANALYTIC HIERARCHY PROCESS Jerzy Michnik a,b, 1, Mei-Chen Lo c a Kainan University, No.1, Kainan Rd.,

More information

A Selection Model for ERP System by Applying Fuzzy AHP Approach

A Selection Model for ERP System by Applying Fuzzy AHP Approach A Selection Model for ERP System by Applying Fuzzy AHP Approach Chi-Tai Lien* and Hsiao-Ling Chan Department of Information Management Ta Hwa Institute of Tachenology, Hsin-Chu, Taiwan, R.O.C. *E-mail:

More information

Information Security and Risk Management

Information Security and Risk Management Information Security and Risk Management by Lawrence D. Bodin Professor Emeritus of Decision and Information Technology Robert H. Smith School of Business University of Maryland College Park, MD 20742

More information

Application of the Multi Criteria Decision Making Methods for Project Selection

Application of the Multi Criteria Decision Making Methods for Project Selection Universal Journal of Management 3(1): 15-20, 2015 DOI: 10.13189/ujm.2015.030103 http://www.hrpub.org Application of the Multi Criteria Decision Making Methods for Project Selection Prapawan Pangsri Faculty

More information

Adopting an Analytic Hierarchy Process to Select Internet Advertising Networks

Adopting an Analytic Hierarchy Process to Select Internet Advertising Networks Adopting an Analytic Hierarchy Process to Select Internet Advertising Networks Chin-Tasi Lin 1), Pi-Fang Hsu 2) 1) Yuanpei Institute of Science and Technology, Department of Information Management, Taiwan

More information

Project Management Software Selection Using Analytic Hierarchy Process Method

Project Management Software Selection Using Analytic Hierarchy Process Method International Journal of Applied Science and Technology Vol. 4, No. ; November 04 Project Management Software Selection Using Analytic Hierarchy Process Method Birgul Kutlu Professor Bogazici University

More information

Use Analytic Hierarchy Process For Project Selection

Use Analytic Hierarchy Process For Project Selection P R OJECT SELECTON Use Analytic Hierarchy Process For Project Selection THE METHOD CAN ASSST STRATEGY FOCUSED ORGANZATONS N PROPERLY MANAGNG BUSNESS PROCESS MPROVEMENT PROGRAMS. By John David Kendrick

More information

OBJECT ORIENTED SOFTWARE SYSTEM BASED ON AHP

OBJECT ORIENTED SOFTWARE SYSTEM BASED ON AHP OBJECT ORIENTED SOFTWARE SYSTEM BASED ON AHP Soumi Ghosh Department of Computer Science & Engineering Amity School of Engineering and Technology Amity University, Sec-125, NOIDA, (U.P.), INDIA noni.soumi@gmail.com

More information

USING THE ANALYTIC HIERARCHY PROCESS FOR DECISION MAKING IN ENGINEERING APPLICATIONS: SOME CHALLENGES

USING THE ANALYTIC HIERARCHY PROCESS FOR DECISION MAKING IN ENGINEERING APPLICATIONS: SOME CHALLENGES Published in: Inter l Journal of Industrial Engineering: Applications and Practice, Vol. 2, No. 1, pp. 35-44, 1995. 1 USING THE ANALYTIC HIERARCHY PROCESS FOR DECISION MAKING IN ENGINEERING APPLICATIONS:

More information

The Application of ANP Models in the Web-Based Course Development Quality Evaluation of Landscape Design Course

The Application of ANP Models in the Web-Based Course Development Quality Evaluation of Landscape Design Course , pp.291-298 http://dx.doi.org/10.14257/ijmue.2015.10.9.30 The Application of ANP Models in the Web-Based Course Development Quality Evaluation of Landscape Design Course Xiaoyu Chen 1 and Lifang Qiao

More information

Decision Making on Project Selection in High Education Sector Using the Analytic Hierarchy Process

Decision Making on Project Selection in High Education Sector Using the Analytic Hierarchy Process Decision Making on Project Selection in High Education Sector Using the Analytic Hierarchy Process Nina Begičević University of Zagreb, Faculty of Organization and Informatics, Pavlinska 2, Varaždin nina.begicevic@foi.hr

More information

Measurement Information Model

Measurement Information Model mcgarry02.qxd 9/7/01 1:27 PM Page 13 2 Information Model This chapter describes one of the fundamental measurement concepts of Practical Software, the Information Model. The Information Model provides

More information

Project Management Software Selection Using Analytic Hierarchy Process Method

Project Management Software Selection Using Analytic Hierarchy Process Method Project Management Software Selection Using Analytic Hierarchy Process Method ISSN - 35-055 Sweety Sen (B.tech: Information Technology) Dronacharya College of Engineering Gurgaon, India Phone no. : 00343

More information

ERP SYSTEM SELECTION BY AHP METHOD: CASE STUDY FROM TURKEY

ERP SYSTEM SELECTION BY AHP METHOD: CASE STUDY FROM TURKEY ERP SYSTEM SELECTION BY AHP METHOD: CASE STUDY FROM TURKEY Babak Daneshvar Rouyendegh (Babek Erdebilli) Atılım University Department of Industrial Engineering P.O.Box 06836, İncek, Ankara, Turkey E-mail:

More information

A Quality Based Method to Analyze Software Architectures

A Quality Based Method to Analyze Software Architectures www.ijcsi.org A Quality Based Method to Analyze Software Architectures Farzaneh Hoseini Jabali, Sayed Mehran Sharafi and Kamran Zamanifar3 Computer Department, Islamic Azad University, Naafabad Branch,

More information

SELECTION OF AN ORGANIZATION SPECIFIC ERP

SELECTION OF AN ORGANIZATION SPECIFIC ERP SELECTION OF AN ORGANIZATION SPECIFIC ERP CARMEN RĂDUŢ, DIANA-ELENA CODREANU CONSTANTIN BRÂNCOVEANU UNIVERSITY, BASCOVULUI BLVD., NO. 2A, PITEŞTI, NICOLAE BALCESCU STR., NO. 39, RM. VÂLCEA, VÂLCEA c_radut@yahoo.com,

More information

AGGREGATING PAIR-WISE COMPARISONS GIVEN IN SCALES OF DIFFERENT DETAIL DEGREE

AGGREGATING PAIR-WISE COMPARISONS GIVEN IN SCALES OF DIFFERENT DETAIL DEGREE of Different Detail Degree / 2014, AGGREGATING PAIR-WISE COMPARISONS GIVEN IN SCALES OF DIFFERENT DETAIL DEGREE V.V.Tsyganok E-mail: vitaliy.tsyganok@gmail.com O.V.Andriichuk E-mail: andreychuck@ukr.net

More information

Proposing an approach for evaluating e-learning by integrating critical success factor and fuzzy AHP

Proposing an approach for evaluating e-learning by integrating critical success factor and fuzzy AHP 2011 International Conference on Innovation, Management and Service IPEDR vol.14(2011) (2011) IACSIT Press, Singapore Proposing an approach for evaluating e-learning by integrating critical success factor

More information

Supplier Performance Evaluation and Selection in the Herbal Industry

Supplier Performance Evaluation and Selection in the Herbal Industry Supplier Performance Evaluation and Selection in the Herbal Industry Rashmi Kulshrestha Research Scholar Ranbaxy Research Laboratories Ltd. Gurgaon (Haryana), India E-mail : rashmi.kulshreshtha@ranbaxy.com

More information

Towards a Decision Making Framework for Model Transformation Languages. Soroosh Nalchigar soroosh@cs.toronto.edu

Towards a Decision Making Framework for Model Transformation Languages. Soroosh Nalchigar soroosh@cs.toronto.edu Towards a Decision Making Framework for Model Transformation Languages Soroosh Nalchigar soroosh@cs.toronto.edu Outline Introduction Research problem Proposed solution Application (3 scenarios) Where to

More information

FUZZY MULTI CRITERIA EVALUATION FRAMEWORK FOR E-LEARNING SOFTWARE QUALITY

FUZZY MULTI CRITERIA EVALUATION FRAMEWORK FOR E-LEARNING SOFTWARE QUALITY FUZZY MULTI CRITERIA EVALUATION FRAMEWORK FOR E-LEARNING SOFTWARE QUALITY Dr. Irfan Syamsuddin State Polytechnic of Ujung Pandang INDONESIA irfans@poliupg.ac.id ABSTRACT Quality of software is one of several

More information

Klaus D. Goepel No 10 Changi Business Park Central 2 Hansapoint@CBP #06-01/08 Singapore 486030 E-mail: drklaus@bpmsg.com ABSTRACT

Klaus D. Goepel No 10 Changi Business Park Central 2 Hansapoint@CBP #06-01/08 Singapore 486030 E-mail: drklaus@bpmsg.com ABSTRACT IMPLEMENTING THE ANALYTIC HIERARCHY PROCESS AS A STANDARD METHOD FOR MULTI-CRITERIA DECISION MAKING IN CORPORATE ENTERPRISES A NEW AHP EXCEL TEMPLATE WITH MULTIPLE INPUTS Klaus D. Goepel No 0 Changi Business

More information

A fuzzy analytic hierarchy process tool to evaluate computer-aided manufacturing software alternatives

A fuzzy analytic hierarchy process tool to evaluate computer-aided manufacturing software alternatives TJFS: Turkish Journal of Fuzzy Systems (eissn: 09 90) An Official Journal of Turkish Fuzzy Systems Association Vol. No.2 pp. 4-27 204. A fuzzy analytic hierarchy process tool to evaluate computer-aided

More information

An analytical hierarchy process and fuzzy inference system tsukamoto for production planning: a review and conceptual research

An analytical hierarchy process and fuzzy inference system tsukamoto for production planning: a review and conceptual research An analytical hierarchy process and fuzzy inference system tsukamoto for production planning: a review and conceptual research Abdul Talib Bon; Silvia Firda Utami Department of Production and Operations

More information

Design of Customer-Oriented Cloud Products

Design of Customer-Oriented Cloud Products Design of Customer-Oriented Cloud Products Gülfem Isiklar Alptekin, S. Emre Alptekin Abstract Cloud computing is defined as a scalable services consumption and delivery platform that allows enterprises

More information

An Evaluation of Strategic Networking Equipments Using. AHP(Analytic Hierarchy Process)

An Evaluation of Strategic Networking Equipments Using. AHP(Analytic Hierarchy Process) An Evaluation of Strategic Networking Equipments Using AHP(Analytic Hierarchy Process) DaeKyeong Nam, Juseong Kim bnco@etri.re.kr, juskim@etri.re.kr Abstract We analyze the evaluation of strategic networking

More information

Analytic hierarchy process (AHP)

Analytic hierarchy process (AHP) Table of Contents The Analytic Hierarchy Process (AHP)...1/6 1 Introduction...1/6 2 Methodology...1/6 3 Process...1/6 4 Review...2/6 4.1 Evaluation of results...2/6 4.2 Experiences...3/6 4.3 Combinations...3/6

More information

ABC AHP Decision Tool Manual

ABC AHP Decision Tool Manual Project Number: TPF-5(221) ABC AHP Decision Tool Manual Final March, 2012 1 Introduction... 1 1.1 Software Overview... 1 1.2 Graphical User Interface... 1 1.3 Software Requirements... 2 1.4 How to Initiate

More information

Content-Based Discovery of Twitter Influencers

Content-Based Discovery of Twitter Influencers Content-Based Discovery of Twitter Influencers Chiara Francalanci, Irma Metra Department of Electronics, Information and Bioengineering Polytechnic of Milan, Italy irma.metra@mail.polimi.it chiara.francalanci@polimi.it

More information

Resource Allocation in Project Scheduling Application of Fuzzy AHP

Resource Allocation in Project Scheduling Application of Fuzzy AHP Resource Allocation in Project Scheduling Application of Fuzzy AHP CH. Lakshmi Tulasi A. Ramakrishna Rao S.V.U.College of Engineering (chavalimadhavi@yahoo.co.in) (arrsvume@gmail.com) Several approaches

More information

SUPPLIER SELECTION IN A CLOSED-LOOP SUPPLY CHAIN NETWORK

SUPPLIER SELECTION IN A CLOSED-LOOP SUPPLY CHAIN NETWORK SUPPLIER SELECTION IN A CLOSED-LOOP SUPPLY CHAIN NETWORK Satish Nukala, Northeastern University, Boston, MA 025, (67)-373-7635, snukala@coe.neu.edu Surendra M. Gupta*, Northeastern University, Boston,

More information

Vendor Evaluation and Rating Using Analytical Hierarchy Process

Vendor Evaluation and Rating Using Analytical Hierarchy Process Vendor Evaluation and Rating Using Analytical Hierarchy Process Kurian John, Vinod Yeldho Baby, Georgekutty S.Mangalathu Abstract -Vendor evaluation is a system for recording and ranking the performance

More information

MULTIPLE-OBJECTIVE DECISION MAKING TECHNIQUE Analytical Hierarchy Process

MULTIPLE-OBJECTIVE DECISION MAKING TECHNIQUE Analytical Hierarchy Process MULTIPLE-OBJECTIVE DECISION MAKING TECHNIQUE Analytical Hierarchy Process Business Intelligence and Decision Making Professor Jason Chen The analytical hierarchy process (AHP) is a systematic procedure

More information

Evaluating Simulation Software Alternatives through ANP

Evaluating Simulation Software Alternatives through ANP Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia, January 22 24, 2011 Evaluating Simulation Software Alternatives through ANP

More information

Learning Management System Selection with Analytic Hierarchy Process

Learning Management System Selection with Analytic Hierarchy Process Learning Management System Selection with Analytic Hierarchy Process Aydın Çetin 1, Ali Hakan Işık 2, İnan Güler 1 1 Gazi University, Faculty Of Technology 2 Gazi University, Institute of Information Sciences

More information

PMI Risk Management Professional (PMI-RMP ) - Practice Standard and Certification Overview

PMI Risk Management Professional (PMI-RMP ) - Practice Standard and Certification Overview PMI Risk Management Professional (PMI-RMP ) - Practice Standard and Certification Overview Sante Torino PMI-RMP, IPMA Level B Head of Risk Management Major Programmes, Selex ES / Land&Naval Systems Division

More information

Decision and uncertainty management for human and human/agent teams. Dr. David Ullman President Robust Decisions, Inc. www.robustdecisions.

Decision and uncertainty management for human and human/agent teams. Dr. David Ullman President Robust Decisions, Inc. www.robustdecisions. Decision and uncertainty management for human and human/agent teams Dr. David Ullman President Robust Decisions, Inc. www.robustdecisions.com Topics What is Decision Management and why is it important?

More information

Characteristics of Computational Intelligence (Quantitative Approach)

Characteristics of Computational Intelligence (Quantitative Approach) Characteristics of Computational Intelligence (Quantitative Approach) Shiva Vafadar, Ahmad Abdollahzadeh Barfourosh Intelligent Systems Lab Computer Engineering and Information Faculty Amirkabir University

More information

Degree of Uncontrollable External Factors Impacting to NPD

Degree of Uncontrollable External Factors Impacting to NPD Degree of Uncontrollable External Factors Impacting to NPD Seonmuk Park, 1 Jongseong Kim, 1 Se Won Lee, 2 Hoo-Gon Choi 1, * 1 Department of Industrial Engineering Sungkyunkwan University, Suwon 440-746,

More information

2008 Jordan Journal of Mechanical and Industrial Engineering. All rights reserved - Volume 2, Number 2 (ISSN 1995-6665) Goal

2008 Jordan Journal of Mechanical and Industrial Engineering. All rights reserved - Volume 2, Number 2 (ISSN 1995-6665) Goal JJMIE Jordan Journal of Mechanical and Industrial Engineering Volume 2, Number 2, Jun. 2008 ISSN 1995-6665 Pages 77-84 Evaluating and Benchmarking Non-Governmental Training Programs: An Analytic Hierarchy

More information

Decision Making and Evaluation System for Employee Recruitment Using Fuzzy Analytic Hierarchy Process

Decision Making and Evaluation System for Employee Recruitment Using Fuzzy Analytic Hierarchy Process International Refereed Journal of Engineering and Science (IRJES) ISSN (Online) 2319-183X, (Print) 2319-1821 Volume 2, Issue 7 (July 2013), PP.24-31 Decision Making and Evaluation System for Employee Recruitment

More information

QoS EVALUATION OF CLOUD SERVICE ARCHITECTURE BASED ON ANP

QoS EVALUATION OF CLOUD SERVICE ARCHITECTURE BASED ON ANP QoS EVALUATION OF CLOUD SERVICE ARCHITECTURE BASED ON ANP Mingzhe Wang School of Automation Huazhong University of Science and Technology Wuhan 430074, P.R.China E-mail: mingzhew@gmail.com Yu Liu School

More information

A FUZZY LOGIC APPROACH FOR SALES FORECASTING

A FUZZY LOGIC APPROACH FOR SALES FORECASTING A FUZZY LOGIC APPROACH FOR SALES FORECASTING ABSTRACT Sales forecasting proved to be very important in marketing where managers need to learn from historical data. Many methods have become available for

More information

INFORMATION SECURITY RISK ASSESSMENT: BAYESIAN PRIORITIZATION FOR AHP GROUP DECISION MAKING. Zeynep Filiz Eren-Dogu and Can Cengiz Celikoglu

INFORMATION SECURITY RISK ASSESSMENT: BAYESIAN PRIORITIZATION FOR AHP GROUP DECISION MAKING. Zeynep Filiz Eren-Dogu and Can Cengiz Celikoglu International Journal of Innovative Computing, Information and Control ICIC International c 2012 ISSN 1349-4198 Volume 8, Number 11, November 2012 pp. 8019 8032 INFORMATION SECURITY RISK ASSESSMENT: BAYESIAN

More information

Supplier Selection through Analytical Hierarchy Process: A Case Study In Small Scale Manufacturing Organization

Supplier Selection through Analytical Hierarchy Process: A Case Study In Small Scale Manufacturing Organization Supplier Selection through Analytical Hierarchy Process: A Case Study In Small Scale Manufacturing Organization Dr. Devendra Singh Verma 1, Ajitabh pateriya 2 1 Department of Mechanical Engineering, Institute

More information

USING THE ANALYTIC HIERARCHY PROCESS (AHP) TO SELECT AND PRIORITIZE PROJECTS IN A PORTFOLIO

USING THE ANALYTIC HIERARCHY PROCESS (AHP) TO SELECT AND PRIORITIZE PROJECTS IN A PORTFOLIO USING THE ANALYTIC HIERARCHY PROCESS (AHP) TO SELECT AND PRIORIZE PROJECTS IN A PORTFOLIO Ricardo Viana Vargas, MSc, IPMA-B, PMP Professor Fundação Getúlio Vargas (FGV) Brasil Professor Fundação Instituto

More information

Improving Software Development Processes with Multicriteria Methods

Improving Software Development Processes with Multicriteria Methods Improving Software Development Processes with Multicriteria Methods Elena Kornyshova, Rébecca Deneckère, and Camille Salinesi CRI, University Paris 1 - Panthéon Sorbonne, 90, rue de Tolbiac, 75013 Paris,

More information

Credit Risk Comprehensive Evaluation Method for Online Trading

Credit Risk Comprehensive Evaluation Method for Online Trading Credit Risk Comprehensive Evaluation Method for Online Trading Company 1 *1, Corresponding Author School of Economics and Management, Beijing Forestry University, fankun@bjfu.edu.cn Abstract A new comprehensive

More information

CONTRACTOR SELECTION WITH RISK ASSESSMENT BY

CONTRACTOR SELECTION WITH RISK ASSESSMENT BY CONTRACTOR SELECTION WITH RISK ASSESSMENT BY USING AHP FUZZY METHOD Seyed Ali Tabatabaei Khodadadi 1, B. Dean Kumar 2 ¹Department of Civil Engineering, JNTUH CEH, Hyderabad -500085, India ²Associate Professor

More information

SMICloud: A Framework for Comparing and Ranking Cloud Services

SMICloud: A Framework for Comparing and Ranking Cloud Services 2011 Fourth IEEE International Conference on Utility and Cloud Computing SMICloud: A Framework for Comparing and Ranking Cloud Services Saurabh Kumar Garg, Steve Versteeg and Rajkumar Buyya Cloud Computing

More information

Research on supply chain risk evaluation based on the core enterprise-take the pharmaceutical industry for example

Research on supply chain risk evaluation based on the core enterprise-take the pharmaceutical industry for example Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(6):593-598 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Research on supply chain risk evaluation based on

More information

Subcontractor Selection Using Analytic Hierarchy Process

Subcontractor Selection Using Analytic Hierarchy Process Volume 3 Number 3 2012 pp. 121-143 ISSN: 1309-2448 www.berjournal.com Subcontractor Selection Using Analytic Hierarchy Process Vesile Sinem Arıkan Kargı a Ahmet Öztürk b Abstract: Turkish textile firms

More information

MULTI-CRITERIA OPTIMIZATION IN WORKFORCE MANAGEMENT

MULTI-CRITERIA OPTIMIZATION IN WORKFORCE MANAGEMENT MULTI-CRITERIA OPTIMIZATION IN WORKFORCE MANAGEMENT Elmar JAEKER Rudolf FELIX Dieter SEIFERT Thomas EPLER PSI AG Germany F/L/S Germany envia NSG Germany envia NSG Germany ejaeker@psi.de felix@fuzzy.de

More information

Project Risk Management

Project Risk Management Project Risk Management Study Notes PMI, PMP, CAPM, PMBOK, PM Network and the PMI Registered Education Provider logo are registered marks of the Project Management Institute, Inc. Points to Note Risk Management

More information

K.Niha, Dr. W.Aisha Banu, Ruby Anette

K.Niha, Dr. W.Aisha Banu, Ruby Anette International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015 41 A Cloud Service Providers Ranking System Using Ontology K.Niha, Dr. W.Aisha Banu, Ruby Anette Abstract Cloud

More information

Decision-making with the AHP: Why is the principal eigenvector necessary

Decision-making with the AHP: Why is the principal eigenvector necessary European Journal of Operational Research 145 (2003) 85 91 Decision Aiding Decision-making with the AHP: Why is the principal eigenvector necessary Thomas L. Saaty * University of Pittsburgh, Pittsburgh,

More information

Performance Appraisal System using Multifactorial Evaluation Model

Performance Appraisal System using Multifactorial Evaluation Model Performance Appraisal System using Multifactorial Evaluation Model C. C. Yee, and Y.Y.Chen Abstract Performance appraisal of employee is important in managing the human resource of an organization. With

More information

Measuring System Performance & User Satisfaction after Implementation of ERP

Measuring System Performance & User Satisfaction after Implementation of ERP Proceedings of Informing Science & IT Education Conference (InSITE) 2012 Measuring System Performance & User Satisfaction after Implementation of ERP Imran Batada Institute of Business Administration,

More information

6 Analytic Hierarchy Process (AHP)

6 Analytic Hierarchy Process (AHP) 6 Analytic Hierarchy Process (AHP) 6.1 Introduction to Analytic Hierarchy Process The AHP (Analytic Hierarchy Process) was developed by Thomas L. Saaty (1980) and is the well-known and useful method to

More information

EMPLOYEE PERFORMANCE APPRAISAL SYSTEM USING FUZZY LOGIC

EMPLOYEE PERFORMANCE APPRAISAL SYSTEM USING FUZZY LOGIC EMPLOYEE PERFORMANCE APPRAISAL SYSTEM USING FUZZY LOGIC ABSTRACT Adnan Shaout* and Mohamed Khalid Yousif** *The Department of Electrical and Computer Engineering The University of Michigan Dearborn, MI,

More information

Multi-Dimensional Assessment for Residential Lighting Demand Side Management: A Proposed Framework

Multi-Dimensional Assessment for Residential Lighting Demand Side Management: A Proposed Framework Applied Mechanics and Materials Vols. 284-287 (2013) pp 3612-3616 (2013) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/amm.284-287.3612 Multi-Dimensional Assessment for Residential

More information

ANALYTICAL HIERARCHY PROCESS AS A TOOL FOR SELECTING AND EVALUATING PROJECTS

ANALYTICAL HIERARCHY PROCESS AS A TOOL FOR SELECTING AND EVALUATING PROJECTS ISSN 1726-4529 Int j simul model 8 (2009) 1, 16-26 Original scientific paper ANALYTICAL HIERARCHY PROCESS AS A TOOL FOR SELECTING AND EVALUATING PROJECTS Palcic, I. * & Lalic, B. ** * University of Maribor,

More information

Applying Combine FAHP-DEA-ANP In Selecting Products

Applying Combine FAHP-DEA-ANP In Selecting Products Applying Combine FAHP-DEA-ANP In Selecting Products Pantea Maleki Moghadam-abyaneh Reza Raei Nojehdehi Esmaeel Najafi Department of Industrial Engineering, Science and Research branch, Islamic Azad University,

More information

Analytical Hierarchy Process for Higher Effectiveness of Buyer Decision Process

Analytical Hierarchy Process for Higher Effectiveness of Buyer Decision Process P a g e 2 Vol. 10 Issue 2 (Ver 1.0), April 2010 Global Journal of Management and Business Research Analytical Hierarchy Process for Higher Effectiveness of Buyer Decision Process Razia Sultana Sumi 1 Golam

More information

COMBINING THE METHODS OF FORECASTING AND DECISION-MAKING TO OPTIMISE THE FINANCIAL PERFORMANCE OF SMALL ENTERPRISES

COMBINING THE METHODS OF FORECASTING AND DECISION-MAKING TO OPTIMISE THE FINANCIAL PERFORMANCE OF SMALL ENTERPRISES COMBINING THE METHODS OF FORECASTING AND DECISION-MAKING TO OPTIMISE THE FINANCIAL PERFORMANCE OF SMALL ENTERPRISES JULIA IGOREVNA LARIONOVA 1 ANNA NIKOLAEVNA TIKHOMIROVA 2 1, 2 The National Nuclear Research

More information

Systems Features Analysis (SFA) and Analytic Hierarchy Process (AHP) in Systems Design and Development

Systems Features Analysis (SFA) and Analytic Hierarchy Process (AHP) in Systems Design and Development Systems Features Analysis (SFA) and Analytic Hierarchy Process (AHP) in Systems Design and Development Felipe P. Vista IV 1, a and Kil To Chong 1, 2, b, * 1 Department of Electronic Engineering, Jeonbuk

More information

Decision Support System for Rapid Prototyping Process Selection

Decision Support System for Rapid Prototyping Process Selection International Journal of Scientific and Research Publications, Volume 4, Issue 1, January 2014 1 Decision Support System for Rapid Prototyping Process Selection Vikram Shende*, Dr. Prafulla Kulkarni**

More information

Identifying, Ranking and Sensitivity Analysis for financing. Methods of deteriorated areas renovation projects

Identifying, Ranking and Sensitivity Analysis for financing. Methods of deteriorated areas renovation projects Identifying, Ranking and Sensitivity Analysis for financing Methods of deteriorated areas renovation projects VahidrezaYousefi a,*1, Aida Rahimi Golkhandan b, Sarmad Kiani c a.phd candidate of Construction

More information

THE ANALYTIC HIERARCHY PROCESS (AHP)

THE ANALYTIC HIERARCHY PROCESS (AHP) THE ANALYTIC HIERARCHY PROCESS (AHP) INTRODUCTION The Analytic Hierarchy Process (AHP) is due to Saaty (1980) and is often referred to, eponymously, as the Saaty method. It is popular and widely used,

More information

Aircraft Selection Using Analytic Network Process: A Case for Turkish Airlines

Aircraft Selection Using Analytic Network Process: A Case for Turkish Airlines Proceedings of the World Congress on Engineering 211 Vol II WCE 211, July 6-8, 211, London, U.K. Aircraft Selection Using Analytic Network Process: A Case for Turkish Airlines Yavuz Ozdemir, Huseyin Basligil,

More information

A Tool Selection Framework for Cross Platform Mobile App Development

A Tool Selection Framework for Cross Platform Mobile App Development A Tool Selection Framework for Cross Platform Mobile App Development Felix Appiah J. B. Hayfron-Acquah Joseph K. Panford Frimpong Twum PG Student, Department Of Computer Science PhD Department Of Computer

More information

Optimization of Fuzzy Inventory Models under Fuzzy Demand and Fuzzy Lead Time

Optimization of Fuzzy Inventory Models under Fuzzy Demand and Fuzzy Lead Time Tamsui Oxford Journal of Management Sciences, Vol. 0, No. (-6) Optimization of Fuzzy Inventory Models under Fuzzy Demand and Fuzzy Lead Time Chih-Hsun Hsieh (Received September 9, 00; Revised October,

More information

A Multi-attribute Decision Making Approach for Resource Allocation in Software Projects

A Multi-attribute Decision Making Approach for Resource Allocation in Software Projects A Multi-attribute Decision Making Approach for Resource Allocation in Software Projects A. Ejnioui, C. E. Otero, and L. D. Otero 2 Information Technology, University of South Florida Lakeland, Lakeland,

More information

A Development of the Effectiveness Evaluation Model for Agile Software Development using the Balanced Scorecard

A Development of the Effectiveness Evaluation Model for Agile Software Development using the Balanced Scorecard , March 13-15, 2013, Hong Kong A Development of the Effectiveness Evaluation Model for Agile Development using the Balanced Scorecard Sunisa Atiwithayaporn 1, Wanchai Rivepiboon 2 Abstract Most of standard

More information

THE CONSTRUCTION OF THE FIRM S PERFORMANCE EVALUATION MODEL ON OUTSOURCING ACTIVITIES - APPLICATION OF THE FUZZY SYNTHESIS

THE CONSTRUCTION OF THE FIRM S PERFORMANCE EVALUATION MODEL ON OUTSOURCING ACTIVITIES - APPLICATION OF THE FUZZY SYNTHESIS Yugoslav Journal of Operations Research Volume 20 (200), Number, 87-97 0.2298/YJOR00087K THE CONSTRUCTION OF THE FIRM S PERFORMANCE EVALUATION MODEL ON OUTSOURCING ACTIVITIES - APPLICATION OF THE FUZZY

More information

The Most Effective Strategy to Improve Customer Satisfaction in Iranian Banks: A Fuzzy AHP Analysis

The Most Effective Strategy to Improve Customer Satisfaction in Iranian Banks: A Fuzzy AHP Analysis Journal of Business Studies Quarterly 2013, Volume 4, Number 4 ISSN 2152-1034 The Most Effective Strategy to Improve Customer Satisfaction in Iranian Banks: A Fuzzy AHP Analysis Mojtaba Alidadi, University

More information

APPLICATION OF FUZZY LOGIC FOR PRIORITIZING SERVICE QUALITY IMPROVEMENT IN HEALTHCARE A SURVEY

APPLICATION OF FUZZY LOGIC FOR PRIORITIZING SERVICE QUALITY IMPROVEMENT IN HEALTHCARE A SURVEY APPLICATION OF FUZZY LOGIC FOR PRIORITIZING SERVICE QUALITY IMPROVEMENT IN HEALTHCARE A SURVEY 1 SHEWIT WOLDEGEBRIEL, 2 DANIEL KITAW 1 Lecturer and PhD Candidate, School of Mechanical and Industrial Engineering,

More information

Selection of Mobile Network Operator Using Analytic Hierarchy Process (AHP) Nasruddin Hassan, Norfaieqah Ahmad and Wan Malissa Wan Aminuddin

Selection of Mobile Network Operator Using Analytic Hierarchy Process (AHP) Nasruddin Hassan, Norfaieqah Ahmad and Wan Malissa Wan Aminuddin Advances in Natural and Applied Sciences, 7(1): 1-5, 2013 ISSN 1995-0772 1 This is a refereed journal and all articles are professionally screened and reviewed ORIGINAL ARTICLE Selection of Mobile Network

More information

Estimation of Unknown Comparisons in Incomplete AHP and It s Compensation

Estimation of Unknown Comparisons in Incomplete AHP and It s Compensation Estimation of Unknown Comparisons in Incomplete AHP and It s Compensation ISSN 0386-1678 Report of the Research Institute of Industrial Technology, Nihon University Number 77, 2005 Estimation of Unknown

More information

P3M3 Portfolio Management Self-Assessment

P3M3 Portfolio Management Self-Assessment Procurement Programmes & Projects P3M3 v2.1 Self-Assessment Instructions and Questionnaire P3M3 Portfolio Management Self-Assessment P3M3 is a registered trade mark of AXELOS Limited Contents Introduction

More information

Future Generation Computer Systems

Future Generation Computer Systems Future Generation Computer Systems 29 (2013) 1012 1023 Contents lists available at SciVerse ScienceDirect Future Generation Computer Systems journal homepage: www.elsevier.com/locate/fgcs A framework for

More information