Abstract
This study aims to develop a modular fuzzy ranking framework that can systematically decompose the fuzzy ranking methods into specific modules. Thus, the decision maker can examine various fuzzy ranking methods based on the proposed framework with the corresponding objectives. We used two fuzzy ranking methods for illustration to estimate the feasibility and validity of the proposed framework. Furthermore, we proposed eight desirable characteristics of a fuzzy ranking method, in which the logical relationships between the proposed framework and these desirable characteristics are discussed. Based on the modular fuzzy ranking framework and the desirable characteristics, effective strategies are proposed for improving fuzzy ranking methods to enhance decision quality.