• Ragini Shukla Asst. Prof., Department of IT, Dr. C. V. Raman University Bilaspur, Chhattisgarh, India
  • Manoj Kumar Research Scholar, Department of IT, Dr. C. V. Raman University Bilaspur, Chhattisgarh, India


Performance Appraisal, management and employee Cascaded, Fuzzy Inference System, Sensitivity Analysis, Fuzzy membership, Fuzzy Rules


Most companies and Organization use performance appraisal system to evaluate the managers performance. The managers performance is very important to the management of company and as well as industrial organizations.  In which usually involves crisp and uncertain values to evaluate managers performance. In this paper we proposed to evaluate managers performance on the basis of different factors, applying into fuzzy inference system (FIS) , FIS is the process of formulating the mapping from a given input to an output using fuzzy logic. We can consider some of the most relevant factors, and developed rules will be fuzzified. As input fuzzy variable performance will be fuzzified with suitable fuzzy linguistic variable and ultimately FIS will be developed. This paper explains the comparison of two different membership function and getting more or less similar, So as to achieve the shape of membership function, which is not playing much role to evaluate the performance in positive or negative direction.


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How to Cite

Ragini Shukla, & Manoj Kumar. (2019). EVALUATION OF MANAGER PERFORMANCE USING FUZZY LOGIC TECHNIQUES. International Education and Research Journal (IERJ), 5(5). Retrieved from https://ierj.in/journal/index.php/ierj/article/view/1805