| Summary: | Performance appraisal of teaching faculty in higher education institutions is becoming increasingly challenging with the changing role of teachers in advancing knowledge to students necessitating use of advanced soft computing models. The conventional evaluation methods lack assigning weightage to individual criteria and rely on numerical values. Fuzzy logic advocated by Lotfi Zadeh (1965), used to measure faculty ability, competence and skills, which are actually fuzzy concepts that can be captured in fuzzy terms and fuzzy approach can be used to handle these imprecision and uncertainty information. Present study, we developed a fuzzy logic model using an algorithm in visual basics (VB) and implemented in Matlab, using Matlab Fuzzy logic toolbox, to predict the importance of each category in evaluating the faculty performance. Based on the calculated fuzzy values, the weighed values of each category were grouped for similarity and comparison. This provides a number of interactive tools that allows accessing many of the functions through a Graphic User Interface and also provides a 3-D visualization and fuzzy rule inference.It should not normally exceed 200 words.
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