Performance Evaluation of an Academician using Fuzzy Logic: Student’s Perspective

Authors

  • Jagmohan Mago
  • Dinesh Kumar

Abstract

Abstract
Current literature and common practice suggest that there is no consistent method available to compute the performance of an academician. So, this research work aims to find the quality of an academician from student’s point of view depending upon various quality factors like knowledge, knowledge delivery, communication skills etc. An expert system based on fuzzy logic has been designed to accept inaccurate and vague values of the parameters on which the quality of performance of an academician depends. We have designed a knowledge base with 1728 rules and used Mamdani inference algorithm to decide the possible quality of the performance. The results proposed by the system are compared with the observations of human experts. The Chi-square test of independence is conducted on 200 randomly selected samples from human experts using stratified random sampling technique from the population of 1050 stake holders. It is found that the results produced by the system and that of the human experts are homogeneous and the proposed system can be used to predict the quality of an academician.

Keywords: Fuzzy logic, fuzzy membership functions, academician evaluation, student’s per-spective, chi-square test

Cite this Article
Mago J, Kumar D. Performance Evalua-tion of an Academician using Fuzzy Logic: Student’s Perspective. Journal of Computer Technology & Applications. 2016; 7(1): 35–50p.

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Published

2019-07-15

Issue

Vol. 7 No. 1 (2016)

Section

Articles

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