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
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.
Keywords：interval-valued q-rung orthopair fuzzy numbers(IVq-ROFNs)possibility degree measuremulti-attribute decision-makingcounter-intuitive
Publication Date：2024-06-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 54-63 )