文献类型：期刊文献

英文题名：Group Decision-Making Model Using the Exponential Similarity Measure of Confidence Neutrosophic Number Cubic Sets in a Fuzzy Multi-Valued Circumstance

作者：Zhang, Sumin[1]; Ye, Jun[1,2]

机构：[1] School of Mechanical and Electrical Engineering, Shaoxing University, Shaoxing, 312000, China; [2] Institute of Rock Mechanics, Ningbo University, Ningbo, 315211, China

年份：2023

卷号：53

起止页码：130

外文期刊名：Neutrosophic Sets and Systems

收录：EI(收录号：20231814032401)、Scopus(收录号：2-s2.0-85153734966)

语种：英文

外文关键词：Behavioral research - Decision making

外文摘要：Fuzzy decision-making is a critical research topic in uncertain decision-making issues. Under uncertain scenarios, a group of decision makers/experts presents the fuzzy evaluation data of the criteria to an alternative. In this case, we can use a fuzzy multi-valued set (FMVS) to express them. To solve the operation problem between different fuzzy sequence lengths in FMVSs and ensure some confidence level of fuzzy assessment values from the perspective of probability, this paper first proposes a transformation technique from FMVS to a confidence neutrosophic number cubic set (CNNCS) based on confidence levels and normal distribution of fuzzy values in FMVS. Then, we present an exponential similarity measure between CNNCSs and its group DM model with some confidence levels and normal distribution in a FMVS circumstance. Finally, the developed group DM model is applied to the selection of intelligent manufacturing equipment, and then the decision results corresponding to the 90%, 95%, and 99% confidence levels reveal the decision flexibility and rationality/reliability. ? 2023, Neutrosophic Sets and Systems. All Rights Reserved.