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作 者:任剑[1,2] 王坚强[3] 成鹏飞 胡春华[2] REN Jian;WANG Jianqiang;CHENG Pengfei;HU Chunhua(Key Laboratory of Hunan Provincial New Retail Virtual Reality Technology,Hunan University of Commerce,Changsha 410205,China;Mobile E-business Collaborative Innovation Center of Hunan Province,Hunan University of Commerce,Changsha 410205,China;School of Business,Central South University,Changsha 410083,China;School of Business,Hunan University of Science and Technology,Xiangtan 411201,China)
机构地区:[1]湖南商学院新零售虚拟现实技术湖南省重点实验室,湖南长沙410205 [2]湖南商学院湖南省移动电子商务协同创新中心,湖南长沙410205 [3]中南大学商学院,湖南长沙410083 [4]湖南科技大学商学院,湖南湘潭411201
出 处:《计算机集成制造系统》2018年第9期2367-2376,共10页Computer Integrated Manufacturing Systems
基 金:国家社会科学基金资助项目(15BJY163)~~
摘 要:针对各专家决策矩阵中方案赋值为不同犹豫模糊语言集的多准则群决策问题,提出基于广义犹豫模糊语言集、得分函数与排序得分的新方法。运用新得分函数,将各专家的广义犹豫模糊语言决策矩阵转化为得分决策矩阵;根据各专家给出的准则权重向量的不同情况,计算各方案在准则集下的加权得分函数值或得分函数值;依据这些函数值的特征,得到各专家认为各方案的排序位置及其得分;按照专家权重向量的不同情况,求得各方案的综合排序得分,进而确定各方案的排序。以新能源汽车零配件小微企业的信用评估为例,验证了所提方法的可行性和有效性。Aiming at the multi-criterion group decision-making problems with different hesitant fuzzy linguistic sets in expert decision matrices,a new method was proposed based on generalized hesitant fuzzy linguistic sets,score functions and ranking scores.By adopting some new score functions,the generalized hesitant fuzzy linguistic decision matrices of the experts were transformed into score decision matrices.According to the different situations of criterion weight vectors given by the experts,the weighted score function or score function evaluations of alternatives were gotten under the criterion set.With the consideration of these function evaluations characteristics,the ranking positions and scores of the alternatives were attained on the experts opinions.Based on the different situations of expert weight vector,the comprehensive ranking scores of the alternatives were computed.Accordingly,the ranking order of the alternatives was derived.For the micro and small enterprises in the new-energy auto-parts industry,a numeric example of the credit evaluation was offered to illustrate the feasibility and validity of the proposed method.
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