Fuzzy Extent Analysis: Comparison of Defuzzification Methods
نویسندگان
چکیده
This paper conducts a comparison analysis of some of the most common defuzzification techniques which helps rank fuzzy weights calculated from fuzzy comparison matrices through Fuzzy Analytic Hierarchy Process. Ranking of weights calculated through FAHP algorithms is of critical importance as it directly effects the decision making process. More so ranking of fuzzy numbers is also important in data analysis, artificial intelligence, socioeconomic systems and other areas which utilize fuzzy logic. Many research articles have been published over the past five years solely focusing on this subject. This paper aims to conduct an empirical study on some of the most common defuzzification techniques and identify the best one in terms of accuracy of weights being calculated. Keywords—ranking fuzzy numbers; fuzzy extent analysis; fuzzy analytic hierarchy process; defuzzification
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