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Some q ‐rung orthopair fuzzy Hamy mean operators in multiple attribute decision‐making and their application to enterprise resource planning systems selection
Author(s) -
Wang Jie,
Wei Guiwu,
Lu Jianping,
Alsaadi Fuad E.,
Hayat Tasawar,
Wei Cun,
Zhang Yi
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.22155
Subject(s) - operator (biology) , fuzzy logic , selection (genetic algorithm) , computer science , fuzzy set , dual (grammatical number) , mathematical optimization , mathematics , artificial intelligence , art , biochemistry , chemistry , literature , repressor , transcription factor , gene
Abstract In this paper, the Hamy mean (HM) operator, weighted HM (WHM), dual HM (DHM) operator, and dual WHM (WDHM) operator under the q‐ rung orthopair fuzzy sets ( q‐ ROFSs) is studied to propose the q‐ rung orthopair fuzzy HM ( q‐ ROFHM) operator, q‐ rung orthopair fuzzy WHM ( q‐ ROFWHM) operator, q‐ rung orthopair fuzzy DHM ( q‐ ROFDHM) operator, and q‐ rung orthopair fuzzy weighted DHM ( q‐ ROFWDHM) operator and some of their desirable properties are investigated in detail. Then, we apply these operators to multiple attribute decision‐making problems. Finally, a practical example for enterprise resource planning system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.