Extension of GRA method for multiattribute group decision making problem under linguistic Pythagorean fuzzy setting with incomplete weight information

Abstract

Linguistic Pythagorean fuzzy numbers (LPFNs) are better tools for dealing with imprecision and vagueness. This article develops a new multiattribute group decision-making approach with LPFNs. The attribute values are LPFNs, and the information about the attribute weight is incomplete. Extended the notion of the traditional grey relational analysis (GRA) method,

A fuzzy parametric model for decision making involving F-OWA operator with unknown weights environment

“…Wang et al [24] presented a decision technique based on TI-fuzzy β -neighborhood measures. Moreover, Jana et al [8] , [4] , [5] , [6] , [7] discussed GRA method with partial information on criterion weights, power dombi operators, intuitionistic fuzzy dombi hybrid decision making method with pathagorean fuzzy parameters.…”

Multi‐attribute group decision‐making based on linguistic Pythagorean fuzzy copula extended power average operator

“…However, in the face of complicated and unknown decision‐making problems, individual decision‐making ability and knowledge is limited, and it is not comprehensive to evaluate performance of alternatives and make decisions by only one expert. Therefore, multi‐attribute group decision‐making (MAGDM) is proposed as a promotion of MADM, which assembles the evaluation information of diverse DMs to choose the best alternative(s) (Aydemir & Gunduz, 2021; Khan et al, 2022; Liu, Liu, et al, 2021; Liu, Yu, et al, 2021; Naz et al, 2022; Verma & Mittal, 2022; Zhao et al, 2021). In most circumstances, DMs have difficulty describing evaluation information directly and accurately.…”