【摘要】 对于正态云多准则群决策问题,提出一种基于余弦贴近度与群体共识度的决策方法.将各专家的正态云决策矩阵转化为泛型正态随机决策矩阵,利用正态云的线性组合方法,计算出线性加权泛型正态随机变量.基于理想方案,求得各专家认为各方案的余弦相似度、余弦贴近度和排序结果.通过群体共识度,判断专家们决策意见的一致性程度,求得各方案的加权的余弦相似度、余弦贴近度,并得到最终排序.最后,通过算例验证了所提出方法的可行性和有效性.更多还原

【Abstract】 For the multi-criterion group decision-making problems with normal clouds under the criterion set,a decisionmaking method based on cosine close degrees and group consensus degrees is proposed.In the method,firstly,the normal cloud decision-making matrices of the experts are transformed into general normal stochastic decision-making matrices.Then,by using the linear combination method of normal clouds,the linear weighted general normal stochastic variables of the alternatives are derived.Furthermore,based on ideal alternatives,the cosine similarity degrees,cosine close degrees and ranking results are attained by each expert.After that,through the group consensus degree,the consistency degree of the decision-making opinions of the expert sets is worked out.Accordingly,the weighted cosine similarity degree,weighted cosine close degree and the comprehensive ranking order are gained.Finally,the feasibility and effectiveness of the proposed method are verified by the comparative analysis of an illustrative example.更多还原