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The Compromise Ratio Method With Intuitionistic Fuzzy Distance for FMAGDM

The Compromise Ratio Method With Intuitionistic Fuzzy Distance for FMAGDM

Shuai Li, Jingjing An, Jiangxia Nan
Copyright: © 2022 |Volume: 11 |Issue: 1 |Pages: 17
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781683182498|DOI: 10.4018/IJFSA.285558
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MLA

Li, Shuai, et al. "The Compromise Ratio Method With Intuitionistic Fuzzy Distance for FMAGDM." IJFSA vol.11, no.1 2022: pp.1-17. http://doi.org/10.4018/IJFSA.285558

APA

Li, S., An, J., & Nan, J. (2022). The Compromise Ratio Method With Intuitionistic Fuzzy Distance for FMAGDM. International Journal of Fuzzy System Applications (IJFSA), 11(1), 1-17. http://doi.org/10.4018/IJFSA.285558

Chicago

Li, Shuai, Jingjing An, and Jiangxia Nan. "The Compromise Ratio Method With Intuitionistic Fuzzy Distance for FMAGDM," International Journal of Fuzzy System Applications (IJFSA) 11, no.1: 1-17. http://doi.org/10.4018/IJFSA.285558

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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.

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