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社交网络环境下基于单值中智信息的大规模群决策方法

彭娟娟, 田超   

  1. 浙江财经大学信息管理与人工智能学院 杭州 310018
  • 收稿日期:2021-06-10 修回日期:2021-11-28 出版日期:2022-04-25 发布日期:2022-06-18
  • 基金资助:
    浙江省哲学社会科学规划课题(21NDJC099YB),浙江省自然科学基金一般项目(LY20G010006),国家自然科学基金青年项目(71701065)资助课题.

彭娟娟, 田超. 社交网络环境下基于单值中智信息的大规模群决策方法[J]. 系统科学与数学, 2022, 42(4): 935-954.

PENG Juanjuan, TIAN Chao. A Lage-Scale Group Decision-Making Method Based on Single-Valued Neutrosophic Information Under the Social Network Environment[J]. Journal of Systems Science and Mathematical Sciences, 2022, 42(4): 935-954.

A Lage-Scale Group Decision-Making Method Based on Single-Valued Neutrosophic Information Under the Social Network Environment

PENG Juanjuan, TIAN Chao   

  1. School of Information Management and Artificial Intelligence, Zhejiang University of Finance & Economics, Hangzhou 310018
  • Received:2021-06-10 Revised:2021-11-28 Online:2022-04-25 Published:2022-06-18
Considering the advantages of single-valued neutrosophic sets (SVNSs) in describing uncertain information, this paper proposes a large-scale group decisionmaking (LSGDM) method based on single-valued neutrosophic information under the social network (SN) environment. First, the SN is partitioned by Louvain algorithm, and the weights of each expert in the partition group and the weights of the partition group in the whole SN are determined respectively. Second, the improved single-valued neutrosophic weighted average (ISVNWA) operator and the improved single-valued neutrosophic ordered weighted average (ISVNOWA) operator are proposed, and the related properties are discussed as well. Then combined with the proposed operators, the preference information of each expert in the partition group and the preference information of the experts in the whole SN are aggregated respectively. Third, according to the single-valued neutrosophic distance measure, the consistency of experts in partition group is detected, and the candidate alternatives are ranked using the ISVNWA operator and the comparison method of single-valued neutrosophic numbers (SVNNs). Finally, an illustrative example of mineral overseas investment project selection is provided to demonstrate the feasibility and effectiveness of the proposed method, and the advantages of the proposed method are proved by sensitivity analysis and comparative analysis.

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