Abstract
Higher education institutions including technical institutions are facing problems for providing quality education. A survey reported that there are crises of good and qualified teachers in higher education system. To detain quality teachers and to reject others an exposited opinion is required, but due to conflicting criteria on them it is very difficult to decide rank of quality Teachers, hence a suitable techniques for selecting and ranking of existing teachers is required. Multicriteria decision making (MCDM) is a technique which can be used in this scenario. Fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) is a MCDM method in which various criteria can be fuzzified using fuzzy logic to deal the problem in precise manner. In this research work, FTOPSIS method is applied on the sample data collected from different higher education intuitions and weights are obtained with the help of another MCDM method called analytic hierarchy process (AHP) method. A small sample of 10 teachers and 5 criteria are considered to demonstrate FTOPSIS method to find out ranking among them, obtained results are verified with those collected from various experts and found to be satisfactory.
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References
Hwang, C.L., Yoon, K.: Multiple attributes decision making methods and applications. Springer, Berlin (1981)
Kahraman, C., Cebeci, U., Ruan, D.: Multi-attribute comparison of catering service companies using fuzzy AHP: the case of Turkey. Int. J. Prod. Econ. 87, 171–184 (2004)
Saaty, T.L.: The analytic hierarchy process. McGraw-Hill, New York (1980)
Tolga, E., Demircan, M., Kahraman, C.: Operating system selection using fuzzy replacement analysis and analytic hierarchy process. Int. J. Prod. Econ. 97(1), 89–117 (2005)
Wang, Y.M., Elhag, T.M.S.: Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Syst. Appl. 31, 309–319 (2006)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Zimmermann, J.H.: Fuzzy Set Theory and Its Applications, 3rd edn. Kluwer Academic Publishers, USA (1996)
Calabrese, A., Costa, R., Menichini, T.: Using Fuzzy AHP to manage Intellectual Capital assets: An application to the ICT Service Industry (2013)
Awasthi, A., Chauhan, S.S.: A Hybrid Approach Integrating Affinity Diagram, AHP and Fuzzy TOPSIS for Sustainable City Logistics Planning, vol. 36, pp. 573–583 (2012)
Javanbarg, M.B., Scawthorn, C., Kiyono, J., Shahbodaghkhan, B.: Fuzzy AHP-based Multi Criteria Decision Making Systems using Particle Swarm Optimization, vol. 39, No. 1, pp. 960–966 (2012)
Chang, D.Y.: Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res. 95, 649–655 (1996)
Wang, Y.J., Lee, H.S.: Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Comput. Math. Appl. 53(11), 1762–1772 (2007)
Duran, O.: Computer-aided maintenance management systems selection based on a fuzzy AHP approach, vol. 42, pp. 821–829 (2011)
Chang, D.Y.: Extent Analysis and Synthetic Decision, Optimization Techniques and Applications, vol. 1, p. 352. World Scientific, Singapore (1992)
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Hota, H.S., Sharma, L.K., Pavani, S. (2014). Fuzzy TOPSIS Method Applied for Ranking of Teacher in Higher Education. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_127
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DOI: https://doi.org/10.1007/978-81-322-1665-0_127
Publisher Name: Springer, New Delhi
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