FUZZY COMPREHENSIVE EVALUATION METHOD FOR THE EVALUATION OF HUMAN CAPITAL IN UNIVERSITY SYSTEM: A CASE STUDY

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1 FUZZY COMPREHENSIVE EVALUATION METHOD FOR THE EVALUATION OF HUMAN CAPITAL IN UNIVERSITY SYSTEM: A CASE STUDY *PROFESSOR P. SHEELA; **MR. R.L.N. MURTHY * PROFESSOR, DEPT OF FINANCE, GITAM INSTITUTE OF MANAGEMENT, GITAM UNIVERSITY, VISAKHAPATNAM. **RESEARCH SCHOLAR, GITAM INSTITUTE OF MANAGEMENT, GITAM UNIVERSITY, VISAKHAPATNAM. ABSTRACT Human resources are the most valuable capital for sustainability and success of any organization. Universities also, like any other organization, needs to know their human capital value of their organization and improve the human capital (HC) value for the achievement of the best university status. But, human capital valuation is still in its research phase. The crux of the problem is quantifying human capital with the help of qualitative factors. These qualitative factors are intangible in nature and there always exist in uncertainty. Uncertainty arises due to vagueness and imprecision in understanding linguistic variables. There is a need for a comprehensive method for evaluation of human capital and its quantification with qualitative factors in the university system. The fuzziness of linguistics can better be solved with fuzzy logic and fuzzy comprehensive method which comes handy in quantifying the human capital with qualitative factors. This research paper proposes a comprehensive method for the evaluation of human capital in the management institution of a deemed to be university. Factors of human capital in the institution of a university was taken on the lines of the criteria laid down by the University Grant Commission (UGC) on Teaching, learning & evaluation, Research, Administration and professional development factors along with the help of discussion the authors had with head of the management institution in university and there by evaluated the value of human capital with fuzzy comprehensive evaluation method. The evaluation results show that the human capital of the management institution in the university is just good and needs lots of initiation both by the faculty as well as by the institution to motivate and direct the best outcome from the faculty for the best result. KEY WORDS: human capital, human resource accounting, fuzzy, Analytical Hierarchy Process, Extent analysis. REFERENCES 1. Abdulkareem, D. A., & Akinnubi, D. Y. (2011). Human Resource Utilization and Internal efficiency in State-Owned Universities in Nigeria. International Journal of Academic Research in Business and Social Sciences, 1 (1),

Universities also, like any other organization, needs to know their human capital value of their organization and improve the human capital (HC) value for the achievement of the best university

2 2. Abdullah, A. G., & Ismail, A. (2012). An Explotory Analysis on the Implementation Challenges of Human Capital Development Skills through Academic Programmes: A Case of Public Research University in Malaysia. International Journal of Academic Research in Economics and Management Sciences, 1 (6), Batyari, A., Bahramzadeh, D. H., Ghorbani, D. M., & Dorostkar, A. (2013). Investigating the Strengths and Weaknesses of Bojnurd Islamic Azad University in Order to Strategic Planning by Fuzzy Hierarchy Analysis (Analytic Hierarchy Process). International Journal of Academic Research in Business and Social Sciences, 3 (4), Becker, G. S. (1994). Human Capital:A Theoretical and Empirical Analysis with Special Reference to Education (3 ed.). The University of Chicago Press. 5. Celik, M., Er, I. D., & Ozokc, A. F. (2009). Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry. Expert Systems with Applications, 36 (1), Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, Chao, C.-Y., & Yan, K.-F. (2011). Combining Fuzzy Set theory and Extent Analysis to construct an Integrated Decision Making Approach in Medical Cosmotology Industry. Information technology Journal, 10 (10), Esfahani, D. N., Ghorbani, O., Amiri, Z., & Farokhi, M. (2013). Identifying and Ranking the Effective Factors on the Organizational Indifference through Fuzzy Analytical Hierarchy Process (FAHP) (Damavand Municipality as a Case Study). International Journal of Academic Research in Business and Social Sciences, 3 (6), Hung-Do, Q., & Chen, J.-F. (2013). An Evaluation of Teaching Performance: The Fuzzy AHP and Comprehensive Evaluation Approach. Information Science and Applications, 10 (3), Kabir, G., & Hasin, D. M. (2011). Comparative analysis of AHP and Fuzzy AHP Model for Multicroteria Inventory Classification. International Journal of Fuzzy Logic Systems (IJFLS), 1 (1), Kabir, G., & Hasin, M. A. (2011). Evaluation of customer oriented success factors in mobile commerce using fuzzy AHP. Journal of Industrial Engineering and Management (JIEm), 4 (2), Kabir, G., Hasin, M. A., & Khondokar, M. A. (2011). Fuzzy Analytical Hierarchy Process for Multicriteria Inventory Classification. International Conference on Mechanical Engineering (ICME2011) December 2011,

International Journal of Academic Research in Economics and Management Sciences, 1 (6), 144-151. 3. Batyari, A., Bahramzadeh, D. H., Ghorbani, D. M., & Dorostkar, A. (2013).

3 (pp. 1-6). Dhaka, Bangladesh. 13. Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16 (6), Koul, S., & Verma, R. (2011). Dynamic vendor selection based on fuzzy AHP. Journal of Manufacturing Technology Management, 22 (8), Lertputtarak, S. (2008). An investigation of factors related to research productivity in a public university in Thailand: a case study. Unpublished Thesis of Doctor of Philosophy, Victoria University, Australia, M.B. Marketing. 16. Lianxin, L., Yu, L., & Guangxia, S. (2014). Study on the analytic hierarchy process and fuzzy comprehensive evaluation on the quality of teaching. Journal of Chemical and Pharmaceutical Research, 6 (2), Liqin, Z., Yuexian, G., & Wenming, C. (2009). The Application of Fuzzy Comprehensive Evaluation Methods in the Selection of a Project Manager Fourth International Conference on Computer Sciences and Convergence Information Technology, (pp ). Seoul, Korea. 18. Liu, Z.-B., Qing, W., & Kong, X.-H. (2011). Fuzzy Comprehensive Evaluation on the Effect of Measures Operation for Oil-WaterWell. Advances in Fuzzy Systems, vol. 2011, Article ID , Marimuthu, M., Arokiasamy, L., & Ismail, M. (2009). Human Capital Development and Its Impact on Firm Performance: Evidence from Developmental Economics. The Journal of International Social Research, 2 (8), Mu, X., Guo, J., Niu, Y., & Jia, M. (2013). Risk Model of U.S. Overseas operations logistics based on Fuzzy Comprehensive evaluation method. Journal of Theoretical and Applied Information Technology, 48 (1), Nazari, A., Salarirad, M. M., & Bazzazi, A. A. (2012). Landfill site selection by decisionmaking tools based on fuzzy multi-attribute decision-making method. 65 (6), Nikfarjam, A., Mavi, R. K., & Fazli, S. (2013). Prioritizing Entrepreneurial University Factors by Fuzzy Analytic Hierarchy Process. International Journal of Economy, Management and Social Sciences, 2 (10), Nouei, 1. T., Kamyad, A. V., Ghazalbash, S., & Sarzeam, M. (2013). Application of fuzzy-ahp extent analysis to determine the relative importance of risk factors in

Journal of Manufacturing Technology Management, 22 (8), 963-971. 15. Lertputtarak, S. (2008).

4 operative mortality after Coronary Artery Bypass surgery. International Journal on Computer Science and Engineering (IJCSE), 5 (5), Paktinat, M., & Danaei, A. (2014). An application of fuzzy AHP for ranking human resources development indices. Management Science Letters, 4 (5), Pang, B., & Bai, S. (2013). An integrated fuzzy synthetic evaluation approach for supplier selection based on analytic network process. Journal of Intelligent Manufacturing, 24 (1), Peibin, G., Baojiang, S., Gang, L., & Yong, W. (2012). Fuzzy Comprehensive Evaluation in Well Control Risk Assessment Based on AHP: A Case Study. Advances in Petroleum Exploration and Development, 4 (1), Percin, S. (2008). Use of fuzzy AHP for evaluating the benefits of information-sharing decisions in a supply chain. Journal of Enterprise Information Management, 21 (3), Saaty, T. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1 (1), Schultz, T. (1972). Human Capital: Policy Issues And Research Opportunities. In T. Schultz, Economic Research: Retrospect and Prospect (Vol. 6, pp. 1-84). National Bureau of Economic Research. 30. Schultz, T. (1961). Investment in Human Capital. The American Economic Review, 51 (1), Shao, C. (2009). The Implication of Fuzzy Comprehensive Evaluation Method in Evaluating Internal Financial Control of Enterprise. International Business Research, 2 (1), Shaverdi, M., Heshmati, M. R., & Ramezani, I. (2014). Application of Fuzzy AHP Approach for Financial Performance Evaluation of Iranian Petrochemical Sector. In Y. Sh, A. L., & F. Aleskerov (Ed.), 2nd International Conference on Information Technology and Quantitative Management, ITQM , pp Elsvier. 33. Shu, B. T., Meng, C. J., & Meng, S. (2013). Risk assessment research for power transformer based on fuzzy synthetic evaluation. Journal of Chemical and Pharmaceutical Research, 5 (12), The_GAZETTE_of_India. (September 2010). Proposed Score for Academic Performance Indicators (APIs) in Recruitments and Career Advancement Scheme (CAS)

An integrated fuzzy synthetic evaluation approach for supplier selection based on analytic network process. Journal of Intelligent Manufacturing, 24 (1), 163 174. 26. Peibin, G., Baojiang, S.

5 Promotions of University/College Teachers. Part III, Section 4, Appendix III, The Gazette of India. 35. Veerabathiran, D. R., & Srinath, D. K. (2012). Application of the Extent Analysis Method on Fuzzy AHP. International Journal of Engineering Science and Technology (IJEST), 4 (7), Veltri, S., & Silvestri, A. (2011). Direct and indirect effects of human capital on firm value: evidence from Italian companies. Journal of Human Resource Costing & Accounting, 15 (3), Xinzheng, W., & Liying, X. (2009). Application of Fuzzy Comprehensive Evaluation in Bidding Risk Assessment on International Project. Proceedings of 2009 International Conference on Management Science and Engineering (pp ). Moscow, Russia: Institute of Electrical and Electronics Engineers ( IEEE ). 38. Yan-fen, G., & Yu-lan, P. (2008). Application of multi-factor hierarchical fuzzy comprehensive evaluation model in risk assessment of gas exploration. China-USA Business Re, 7 (5), Yanrong, H., Chong, W., & Hongjiu, L. (2012). A Triangular Fuzzy Number -Analytical Hierarchy Process to Assess Combined Intangible Assets. Advances in information Sciences and Service Sciences(AISS), 4 (6), Zadeh, L. (1965). Fuzzy Sets. Information and Control, 8, Zhang, L., Xu, X., & Tao, L. (2013). Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making. Journal of Applied Mathematics, 2013, 1-7.

Direct and indirect effects of human capital on firm value: evidence from Italian companies. Journal of Human Resource Costing & Accounting, 15 (3), 232-254. 37. Xinzheng, W., & Liying, X. (2009).

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