Soft Computing Model for Academic Performance of Teachers Using Fuzzy Logic
O.K. Chaudhari, P.G. Khot, K.C. Deshmukh
Current Journal of Applied Science and Technology · pp. 213–226 · Published 10 Jun 2012
10.9734/BJAST/2012/1237Abstract
Worldwide National policies on higher education are giving increasing importance to improve the quality of education on offer. Consequently, the evaluation of teachers’ performance in teaching activity is especially relevant for the academic institutions. It helps to define efficient plans to guarantee quality of teachers and the teaching learning process. In this paper, a soft computing model for academic performance of the teachers in technical institutions based on teaching activity series of qualitative reports is presented. We have proposed a Fuzzy Expert System for evaluating teachers overall performance based on fuzzy logic techniques under “uncertain facts” in the decision making process. A suitable fuzzy inference mechanism and associated rule has been discussed. It introduces the principles behind fuzzy logic and illustrates how these principles could be applied by educators to evaluating teachers’ performance. This model will help to write the Annual Confidential Reports of all the employees of an organization.
References (9)
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