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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
Authors:Jie Wang  Guiwu Wei  Jianping Lu  Fuad E. Alsaadi  Tasawar Hayat  Cun Wei  Yi Zhang
Affiliation:1. School of Business, Sichuan Normal University, Chengdu, China;2. Communications Systems and Networks (CSN) Research Group, Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia;3. Department of Mathematics, Quaid-I-Azam University, Islamabad, Pakistan

Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia;4. School of Business, Sichuan Normal University, Chengdu, China

School of Statistics, Southwestern University of Finance and Economics, Chengdu, China;5. Business School, Southwest University of Political Science and Law, Chongqing, China

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.
Keywords:enterprise resource planning system  multiple attribute decision-making  Pythagorean fuzzy set  q-rung orthopair fuzzy sets  q-rung orthopair fuzzy weighted dual Hamy mean operator  q-rung orthopair fuzzy weighted Hamy mean operator
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