Comparative Analysis of Defuzzification Techniques for Fuzzy Output

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Devender Jain, Shiv Kumar Sharma, Pooja Dhiman

Abstract

 In many situations, a single crisp value is required as a fuzzy process’s output instead of a fuzzy output. A defuzzification operation is one that works with a fuzzy output and transforms it into a definite and decisive crisp value. In contrast, fuzzification is an operation which helps to convert a sharp value into a fuzzy one. For a given fuzzy operation, the output may be analytical combination of two or more than two membership functions elucidated on universal set of the output varying quantity. This paper focuses on the study of the various methods used to defuzzify the fuzzy output. The method of defuzzification is to turn a value quantity into a concrete value.

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