Computer Science

Computer Science ›› 2025, Vol. 52 ›› Issue (11A): 241000119-8.doi: 10.11896/jsjkx.241000119

• Information Security • Previous Articles     Next Articles

Research on Conflict-type Group Decision-making Method Based on Dynamic Triangular FuzzyNumbers and Improved TOPSIS Method

WANG Keke1, AI Wei1, YIN Yanyan2, QIAN Qian1   

  1. 1 China Aerospace Academy of Systems Science and Engineering,Beijing 100037,China
    2 Beijing Normal University-Hong Kong Baptist University United International College,Zhuhai,Guangdong 519087,China
  • Online:2025-11-15 Published:2025-11-10

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Abstract: Currently,methods utilizing triangular fuzzy numbers and TOPSIS for group decision-making often solely consider the expert evaluation information collectively provided by the expert group,neglecting the fact that different experts may have va-rying preferences for the same matter,as well as differing personal weights among experts.Therefore,based on dynamic triangular fuzzy numbers and the refined TOPSIS method,this study extends the collective evaluation information provided by the expert group to individual evaluations from different experts.It proposes methods for judging and resolving conflicts between individual expert evaluations and group decision information.Furthermore,it employs practical cases to validate the scientific validity and effectiveness of the proposed methods.In this study,several experts are invited to evaluate various candidate schemes.The study calculates the Euclidean distance,grey correlation degree,and relative closeness of each expert to the positive and negative ideal schemes for different candidate schemes.Subsequently,by incorporating the individual weights of each expert,it computes the group relative closeness of each scheme.Additionally,it determines the threshold and conflict measure values for conflict detection.If a decision conflict arises,the respective experts revise their evaluation information and implement disciplinary measures by reducing the individual weights of the concerned experts.The study then recalculates the relative closeness of each expert to different candidate schemes and the final group relative closeness.Decisions are made based on the final group relative closeness,leading to the selection of the optimal scheme.

Key words: Dynamic, Triangular fuzzy numbers, TOPSIS, Conflict, Group decision, Resolving conflicts

CLC Number: 

  • TP182
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