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

CHEN Xiaohong, ZHANG Weiwei, XU Xuanhua

Systems Engineering - Theory & Practice ›› 2020, Vol. 40 ›› Issue (5) : 1178-1192.

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Systems Engineering - Theory & Practice ›› 2020, Vol. 40 ›› Issue (5) : 1178-1192. DOI: 10.12011/1000-6788-2018-1559-15

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

  • CHEN Xiaohong1,2, ZHANG Weiwei1, XU Xuanhua1
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Abstract

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.

Key words

social network / hesitation / consistency / large group / ecological security decision making

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CHEN Xiaohong , ZHANG Weiwei , XU Xuanhua. Large group decision-making method based on hesitation and consistency under social network context. Systems Engineering - Theory & Practice, 2020, 40(5): 1178-1192 https://doi.org/10.12011/1000-6788-2018-1559-15

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Funding

Major Project for National Natural Science Foundation of China (71790615); The Key Project of National Natural Science Foundation of China (71431006); National Natural Science Foundation of China (71671189)
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