Open AccessA q-rung orthopair fuzzy multiple attribute group decision making method based on generalized Maclaurin symmetry mean and Dombi t-norm and t-conorm
Author(s) -
Hongxiang Xu,
Runtong Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1861/1/012033
Subject(s) - fuzzy logic , operator (biology) , computer science , parametric statistics , fuzzy set , group decision making , flexibility (engineering) , norm (philosophy) , group (periodic table) , mathematical optimization , set (abstract data type) , symmetry (geometry) , mathematics , artificial intelligence , statistics , physics , geometry , quantum mechanics , political science , law , biochemistry , chemistry , repressor , transcription factor , gene , programming language
Generalized Maclaurin symmetry mean (GMSM) operator is an effective tool in the process of multi-attribute group decision making (MAGDM) with the characteristic of capturing the interrelationships between multiple arguments. at the same time, q-rung orthopair fuzzy set (q-ROFS) is a good tool to describe uncertainty and fuzziness. To effectively aggregate q-rung orthopair fuzzy information based on the extension of Dombi operations, some novel operators and ideal properties of the proposed operators are put forward in this study. Further, this research present a novel method to MAGDM based on the proposed operators. Finally, the applicability of new method can be proved by a numerical experiment. A detailed parametric analysis and a comparative analysis are also discussed to highlight the flexibility and superiority of the method proposed in this paper.