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针对群体成员偏好信息以效用值形式给出的大群体决策问题,提出了判断群体成员提供信息量多寡程度的熵权方法,去除提供较少信息量的成员,形成群体关于决策方案的效用矩阵.利用聚类方法对大群体成员效用向量进行聚类,根据聚类结果确定成员权重,将该权重与效用矩阵合成获得决策方案排序向量.提出了成员意见反映度指标和差异度指标,对群决策结果进行评价.最后通过一个实例说明该方法的有效性和实用性.
Aiming at the large group decision-making problems given by group members preference information in the form of utility values, an entropy weight method is proposed to determine the degree of information provided by the group members. The membership function information matrix is obtained by removing the members who provide less information. Clustering large group members’ utility vectors using cluster method, determining membership weights according to the clustering results, and synthesizing the weight and utility matrix to obtain decision vector ordering vectors.It also puts forward the member opinion reflectance index and variance index, Finally, an example is given to illustrate the effectiveness and practicability of the method.