基于期望区间的广义梯形模糊数骰子相似性测度及其多准则群决策方法

Jun Ye
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引用次数: 28

摘要

本文提出了基于广义梯形模糊数(gtfn)期望区间的相似性测度(称为gtfn之间的期望相似性测度)及其群决策方法。期望相似度度量结合了gtfn的期望区间和两个向量之间的Dice相似度度量的概念来计算gtfn之间的相似度。针对语言信息下的多准则群体决策问题,建立了一种基于期望相似测度和期望权值的群体决策方法,该方法用gtfn相对于9个语言项的语言值来给出准则权值。通过对各方案与理想方案之间的加权期望相似度度量,可以确定各方案之间的排序顺序,方便地识别出最佳方案。算例表明该方法是可行的。
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The Dice similarity measure between generalized trapezoidal fuzzy numbers based on the expected interval and its multicriteria group decision-making method
This article proposes the similarity measure based on the expected interval of generalized trapezoidal fuzzy numbers (GTFNs) (called the expected similarity measure between GTFNs) and its group decision making method. The expected similarity measure combines the concepts of the expected interval of GTFNs and the Dice similarity measure between two vectors for calculating the degree of similarity between GTFNs. A group decision-making method is established based on the expected similarity measure and the expected weight value for solving the multicriteria group decision-making problem under linguistic information, in which the criteria weights and values are given with the linguistic values of GTFNs with respect to the nine linguistic terms. Through the weighted expected similarity measure between each alternative and the ideal alternative, the ranking order of all the alternatives can be determined and the best one(s) is easily identified as well. A practical example shows that the proposed method is applicable.
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