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A novel multiple‐attribute group decision‐making method based on q ‐rung orthopair fuzzy generalized power weighted aggregation operators
Author(s) -
Ju Yanbing,
Luo Chao,
Ma Jun,
Wang Aihua
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.22132
Subject(s) - fuzzy logic , operator (biology) , mathematics , power (physics) , computer science , fuzzy set , mathematical optimization , algorithm , artificial intelligence , physics , biochemistry , repressor , quantum mechanics , transcription factor , chemistry , gene
In this paper, a novel approach is developed to deal with multiple‐attribute group decision‐making (MAGDM) problem under q ‐rung orthopair fuzzy environment. Firstly, some operators have been proposed to aggregate q ‐rung orthopair fuzzy information, such as the q ‐rung orthopair fuzzy generalized power averaging ( q ‐ ROFGPA ) operator, the q ‐rung orthopair fuzzy generalized power weighted averaging ( q ‐ ROFGPWA ) operator, the q ‐rung orthopair fuzzy generalized power geometric ( q ‐ ROFGPG ) operator, and the q ‐rung orthopair fuzzy generalized power weighted geometric ( q ‐ ROFGPWG ) operator. In addition, some desirable properties and special cases of these operators are discussed. Second, a novel approach is developed to solve MAGDM problem under the q ‐rung orthopair fuzzy environment based on the proposed q ‐ ROFGPWA and q ‐ ROFGPWG operators. Finally, a practical example is given to illustrate the application of the proposed method, and further the sensitivity analysis and comparative analysis are carried out.