Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 102-105.

• Intelligent Computing • Previous Articles     Next Articles

Intuitionistic Fuzzy Group Decision Making Information Aggregation Method Based on D-S Evidence Theory

ZANG Han-lin, LI Yan-ling   

  1. Rocket Force University of Engineering,Xi' an 710025,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: When dealing with the intuitionistic fuzzy multi-attribute group decision-making problem,the information aggregation can be completed according to the D-S evidence theory.The weights are determined by using the intuitionistic fuzzy entropy and fuzzy preference relationship.Weighted-evidence fusion method is used to obtain the expert’s fusion evidence for the solution set.In the expert information aggregation,the Euclidean evidence distance is used to solve the degree of conflict between the evidences,and the expert weights are obtained.Evidence information of group experts on program sets are corrected and integrated.Finally,combined with examples,it is proved that the proposed method has high practical value.

Key words: Degree of conflict, D-S evidence theory, Euclidean evidence distance, Fuzzy preference relation, Group decision-making of multi-attribute

CLC Number: 

  • C93
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