Journal of South China University of Technology (Natural Science Edition) ›› 2020, Vol. 48 ›› Issue (6): 134-142.doi: 10.12141/j.issn.1000-565X.190789

• Computer Science & Technology • Previous Articles     Next Articles

Group Decision Making Method Based on Evidential Reasoning Rule Under Conflicting Interval Belief Structures

ZHANG Xingxian1,2,3 WANG Yingming1,2 CHEN Shengqun4#br#   

  1. 1. Decision Sciences Institute,Fuzhou University,Fuzhou 350116,Fujian,China; 2. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350116,Fujian,China; 3. School of Architecture Engineering,Tongling University,Tongling 244061,Anhui,China; 4. Information Engineering Department,Fujian Business University,Fuzhou 350506,Fujian,China
  • Received:2019-10-31 Revised:2020-01-10 Online:2020-06-25 Published:2020-06-01
  • Contact: 王应明(1964-),男,博士,教授,主要从事决策理论与方法研究。 E-mail:msymwang@hotmail.com
  • About author:张兴贤(1984-),男,博士生,主要从事决策理论与方法研究。E-mail:307527397@qq.com
  • Supported by:
    Supported by the National Natural Science Foundation of China (61773123) and the National Social Science Foundation of China (19BGL016)

Abstract: A group decision making method based on evidential reasoning rule under conflicting interval belief structures was proposed to solve the problem of interval belief structures combination,considering the conflict expert opinions in the group decision-making environment. Firstly,group decision-making problems were formed based on the evaluation information of decision makers (or experts) on alternatives. Expert evaluation information (points of view) was taken as evidence,and the validity of evaluation information was checked and normalized. Secondly,the expert weight vector was determined by the support of the evidence,and all the evaluation information was fused with the evidential reasoning rule. Finally,the minimum and maximum regret value method was used to select the optimal scheme. The case analysis shows that the proposed method has consistent evidence fusion results in the process of evidence combination,and the combination results are reasonable and convergent. In addition,the spe-cificity of the evidence can also be maintained.

Key words: interval belief structure, evidential reasoning rule, group decision making, minimum and maximum regret value method, evaluation information