社会网络环境下基于犹豫度和一致性的大群体决策方法

针对社会网络环境下,决策成员偏好为直觉模糊数的大群体决策问题,提出一种新的决策方法.根据决策成员的社会网络关系,利用Louvain社区发现算法进行决策成员社区划分,并利用节点的度中心性和紧密中心性确定基于社会网络结构的决策成员权重和分区权重.进一步,提出新的直觉模糊数距离公式,并引入犹豫度,获取分区的犹豫水平和一致性,进而确定基于犹豫度和一致性的分区权重.在此基础上,有效融合基于社会网络结构和基于犹豫度和一致性的分区权重,确定分区综合权重,进而对备选方案进行排序.最后,通过生态安全案例分析验证本文方法的有效性,对比分析显示了所提方法的优势和合理性.

Large group decision-making method based on hesitation and consistency under social network context

For large group decision-making problems with intuitionistic fuzzy numbers under social network context, a new decision-making method is proposed. According to the social network relationship of decision makers, the decision makers are classified into several partitions by means of the Louvain method for community detection, and the degree centrality and close centrality of the nodes are used to determine the decision makers' weights and partitions' weights based on the social network structure. Furthermore, a new intuitionistic fuzzy number distance measurement is proposed, and the degree of hesitation is introduced to obtain the hesitation level and consistency of the partition, and then the partitions' weights based on hesitation and consistency is determined. On this basis, the effective integration the partitions' weights based on the social network structure and the partitions' weight based on hesitation and consistency to determine the comprehensive partitions weight, and then sort the alternatives. Finally, the effectiveness of the proposed method is verified by ecological security case analysis. The comparative analysis shows the advantages and rationality of the proposed method.