云模型与VIKOR集成的多属性群决策方法

发布时间：2018-06-12 04:51

本文选题：属性群决策 + 云模型　；参考：《计算机工程与应用》2017年24期

【摘要】：针对以往定性概念量化过程中只考虑到模糊性这一不确定性因素的不足,采用云模型从模糊性和随机性两个方面实现语义评价变量的量化,并对专家组的语义评价信息进行集结。针对以往云差异性度量方法的不足,基于云模型构成的本质特点,从云滴分布的角度提出了云距离测度算法,进而提出了云相似度算法。考虑到决策指标间相互影响关系,将云模型与决策试验与实验评估法(Decision-Making Trial and Evaluation Laboratory,DEMATEL)相结合,采用云DEMATEL法对专家主观评价给出的指标初始重要度进行修正,进而计算得到指标权重。采用云距离算法计算备选方案与正、负理想解间的距离,并最终由云VIKOR求得备选方案的妥协解。最后以实例验证了所提方法的可行性和有效性。
[Abstract]:In view of the lack of considering only the uncertain factor of fuzziness in the past qualitative conceptual quantization process, the cloud model is used to quantify the semantic evaluation variables from the aspects of fuzziness and randomness. And gather the semantic evaluation information of the expert group. In view of the shortcomings of the previous cloud diversity measurement methods and based on the essential characteristics of cloud model formation, the cloud distance measurement algorithm is proposed from the point of cloud droplet distribution, and then the cloud similarity algorithm is proposed. Considering the mutual influence of decision indexes, the cloud model is combined with the decision making trial and experimental evaluation method (Decision-making trial and Evaluation Laboratory), and the index weight is calculated by using cloud DEMATEL method to modify the initial importance of the index given by the subjective evaluation of experts. The distance between the alternatives and the positive and negative ideal solutions is calculated by using the cloud distance algorithm, and the compromise solution of the alternatives is obtained by cloud VIKOR. Finally, an example is given to verify the feasibility and effectiveness of the proposed method.
【作者单位】：河海大学商学院;山西大学工程管理系;金陵科技学院商学院;上海理工大学管理学院;
【基金】：江苏省社会科学基金项目(No.15GLD001) 金陵科技学院人才引进项目(No.jit-rcyj-201404)
【分类号】：C934

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