The Compromise Ratio Method With Intuitionistic Fuzzy Distance for FMAGDM

Shuai Li, Jingjing An and Jiangxia Nan
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Shuai Li: Guilin University of Electronic Technology, China
Jingjing An: Fuzhou University, China
Jiangxia Nan: Suzhou University of Science and Technology, China

International Journal of Fuzzy System Applications (IJFSA), 2022, vol. 11, issue 1, 1-17

Abstract: 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 are 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.

Date: 2022
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