Multicriteria decision making based on novel score function of Fermatean fuzzy numbers, the CRITIC method, and the GLDS method

被引：62

作者：

Mishra, Arunodaya Raj ^{[1
]}

Chen, Shyi-Ming ^{[2
]}

Rani, Pratibha ^{[3
]}

机构：

[1] Govt Coll Raigaon, Dept Math, Satna, Madhya Pradesh, India

[2] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan

[3] Koneru Lakshmaiah Educ Fdn, Dept Engn Math, Guntur, Andhra Pradesh, India

来源：

INFORMATION SCIENCES | 2023年 / 623卷

关键词：

Fermatean fuzzy set; Multicriteria decision making; Score function; CRITIC; GLDS; OPERATORS; BARRIERS;

D O I：

10.1016/j.ins.2022.12.031

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a new score function of Fermatean fuzzy numbers (FFNs). The proposed score function of FFNs can conquer the drawbacks of the existing score function of FFNs. We develop a new multicriteria decision making (MCDM) method based on the proposed score function of FFNs, the criteria importance through intercriteria correlation (CRITIC) method and the gained and lost dominance score (GLDS) method with Fermatean fuzzy information. The developed MCDM method can conquer the shortcomings of the existing MCDM methods for MCDM in the environments of FFNs. It provides us a very useful way for MCDM in the context of FFNs. (c) 2022 Elsevier Inc. All rights reserved.

引用

页码：915 / 931

页数：17

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