Modification to Fuzzy Extent Analysis method and its performance analysis

Abstract

Analytic Hierarchical Process (AHP) is one of the most popular Multi-Criteria Decision Making (MCDM) techniques while fuzzy set theory is extensively incorporated into original AHP in order to address vagueness in human judgments. There are a number of algorithms proposed for Fuzzy AHP (FAHP), however. Fuzzy Extent Analysis (FEA) is one of the most frequently used model. This study evaluates the performance of this model against a modified FEA method which utilizes centroid defuzzification. This study shows that modified FEA method performs significantly better than its original model and thus can lead to more effective decision making.