运筹与管理2017，Vol.26Issue(6)：16-23,8.DOI:10.12005/orms.2017.0131
基于模糊证据推理及改进TOPSIS的多属性群决策方法
Novel Approach for Multi-criteria Group Decision Making Based on Fuzzy Evidential Reasoning and Improved TOPSIS Method
摘要
Abstract
To deal with vague and random criteria measurement of multi-criteria group decision making(MCGDM) among various discernment frameworks,the paper defines a similarity measurement of the assessment grades about criteria based on trapezoidal fuzzy numbers for the sake of the optimal solutions to experts' decision weights.Fuzzy evidential reasoning(FER) is applied to aggregate experts' confidential degree information of the assessment grades about criteria of the alternatives in the common discernment frameworks.The similarity measurement is facilitated with the capacity of discerning diverse assessment grades about criteria rigorously,which can improve the feasibility of confidential degree's distance factors subjected to the assessment grades about criteria of the alternatives.Then,the closeness degree deduced from the technique for order preference by similarity to ideal solution(TOPSIS)is obtained.Experiment analysis of the marketing competitiveness evaluation of telecom products proposed by a certain communication enterprise shows the procedure of MCGDM based on FER and the improved TOPSIS method.The visual marketing competitiveness ranking results of the evaluated telecom products are acquired from experts' vague confidential degree information of the assessment grades about criteria,which verify the applicability and effectiveness of the approach proposed in the paper to tackle such decision problems.关键词
多属性群决策/梯形模糊数/评价等级相似度量/置信度距离因子/市场竞争力评估Key words
multi-criteria group decision making(MCGDM)/trapezoidal fuzzy numbers/similarity measurement of the assessment grades about criteria/confidential degree's distance factors/marketing competitiveness evaluation分类
管理科学引用本文复制引用
李少年,吴良刚..基于模糊证据推理及改进TOPSIS的多属性群决策方法[J].运筹与管理,2017,26(6):16-23,8.基金项目
国家自然科学基金委创新群体资助项目(70921001) （70921001）
中国移动通信集团业务支撑重点联合研发项目(2015-LH-21) （2015-LH-21）
