Evaluating the Performance of Teaching Staff in Applied Colleges Using Fuzzy Logic

Abstract

  Using conventional approaches that evaluate teaching and research activity primarily based on numerical scores makes it harder and harder to evaluate academic success at various levels. The need for sophisticated computer models, such as the expert systems based on fuzzy Logic proposed in this study, which address the evaluation of teachers even in the face of ambiguous information, has been brought on by the indexing of academic performance in numerous international databases with impact indices at different scales. The development of a fuzzy Logic model in this study, which makes a unique contribution, involved simulating and implementing an algorithm in MATLAB, in which the membership functions and inference of fuzzy Logic rules designed. This pilot study's outcome was to test and validate the suggested model using a graphical interface, providing the results in accordance with minimum requirements and with more explanations.