Industrial Engineering Journal ›› 2024, Vol. 27 ›› Issue (3): 54-63.doi: 10.3969/j.issn.1007-7375.230111

• Complex System Modeling & Operation Optimization • Previous Articles     Next Articles

A Multi-attribute Decision-making Approach Based on Possibility Degree Measure in Interval-Valued q-Rung Orthopair Fuzzy Environment

WANG Haolun, LI Xuxiang, XU Tingjun, FENG Liangqing   

  1. School of Economics and Management, Nanchang Hangkong University, Nanchang 330063, China
  • Received:2023-05-19 Published:2024-07-12

Abstract: Determining the ordering relation of interval-valued q-rung orthopair fuzzy numbers (IVq-ROFNs) is the key to solve the issue of interval-valued q-rung orthopair fuzzy (IVq-ROF) decision-making. In this context, possibility measure is one of the important tools. To address the counter intuitive problem that existing score functions, accuracy functions and possibility measures cannot solve, a multi-attribute decision-making method based on IVq-ROF possibility degree is proposed. Firstly, the possibility measure in IVq-ROF environment is defined, and its related properties are discussed. Then, through some counter intuitive examples, the feasibility and superiority of the IVq-ROF possibility measure are illustrated. Finally, a multi-attribute decision-making model based on IVq-ROF possibility degree is established. Also, two numerical examples are given to analyze the applicability of the existing possibility degree in IVq-ROF environment and verify the effectiveness and rationality of the proposed method.

Key words: interval-valued q-rung orthopair fuzzy numbers (IVq-ROFNs), possibility degree measure, multi-attribute decision-making, counter-intuitive

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