EVALUATION OF GOVERNMENT OFFICER PERFORMANCE USING FUZZYLOGIC TECHNIQUES

摘要

Many government departments use seniority as criteria for promotion, not as Performance. But recent 6th pay commission recommends, performance based promotion system. In this regard, All Group A Officers of the Central government submits yearly ACR?s (Annual Performance Appraisal Report) system to evaluate the government Officer performance. The Government Officer performance is very important to the government and as well as public, in which usually involves speedy delivery of the government schemes and reaching out to the public expectations. In this paper we proposed to evaluate Government Officers 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 to achieve the shape of membership function, which is not playing much role to evaluate the performance in positive or negative direction.