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Some q‐rung interval‐valued orthopair fuzzy Maclaurin symmetric mean operators and their applications to multiple attribute group decision making
Author(s) -
Wang Jie,
Wei Guiwu,
Wang Rui,
Alsaadi Fuad E.,
Hayat Tasawar,
Wei Cun,
Zhang Yi,
Wu Jiang
Publication year - 2019
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.22156
Subject(s) - operator (biology) , fuzzy logic , mathematics , fuzzy set , interval (graph theory) , mathematical optimization , computer science , artificial intelligence , combinatorics , biochemistry , chemistry , repressor , transcription factor , gene
In this paper, according to the Maclaurin symmetric mean (MSM) operator, the dual MSM (DMSM) operator and the q‐rung interval‐valued orthopair fuzzy set (q‐RIVOFS), we develop some novel MSM operators under the q‐rung interval‐valued orthopair fuzzy environment, such as, the q‐rung interval‐valued orthopair fuzzy MSM operator, the q‐rung interval‐valued orthopair fuzzy weighted MSM (q‐RIVOFWMSM) operator, the q‐rung interval‐valued orthopair fuzzy DMSM operator, and the q‐rung interval‐valued orthopair fuzzy weighted DMSM operator. In addition, some precious properties and numerical examples of these new operators are given in detail. These new operators have the advantages of considering the interrelationship of arguments and can deal with multiple attribute group decision‐making problems with q‐rung interval‐valued orthopair fuzzy information. Finally, a reality example for green suppliers selection in green supply chain management is provided to demonstrate the proposed approach and to verify its rationality and scientific.