The Compromise Ratio Method With Intuitionistic Fuzzy Distance for FMAGDM

摘要

The compromise ratio method (CRM) is an effective method to solve multiple attribute group decision making (MAGDM). Distance measure of intuitionistic fuzzy (IF) numbers (IFNs) is important for CRM. In this paper, according to the IF distance of IFNs, an extended compromise ratio method (CRM) is developed for MAGDM problems, which attribute weights and evaluation values of alternatives on attributes expressed in linguistic variables parameterized using TIFNs. Finally, the effectiveness and practicability of the extended CRM with IF distance are demonstrated by solving a software-selection problem.