Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/27909/comparison-of-defuzzification-methods-from-a-real-world-problem/wai-wai-tun
international journal of science, call for paper computer science, ugc approved journals for engineering
Fuzzy logic is a method to formalize the human capacity of imprecise reasoning. Fuzzy logic react how people think. It tries to make our sense of words and our decision making. As a result, it is making to human intelligent systems. There are three basic steps for fuzzy logic system i.e. Fuzzification, Rule evaluation and Defuzzification. In this paper I discuss a real life problem in which different results of same survey were presented. The survey data represent vague values in the form of fuzzy sets. To solve this problem we applied defuzzification methods to get the best result from surveys. I represent the most commonly used defuzzification methods and made comparison to choose the best one.
