A Group Consensus Decision-Making Method Considering Conformity Behavior in Fuzzy Preference Relations
With the increasingly complex environment faced by decision-making,in-dividual decision-making is difficult to meet the standards of effective decision-making due to its limitations,making group decision-making more common;when decision-makers take action,they often need to consider the judgments and behaviors of others,making conformity behavior an important influencing factor in group decision-making.Therefore,this paper proposes a new group consensus decision-making method based on fuzzy preference relationships that considers conformity behavior,which can ef-fectively save the cost of reaching consensus.Firstly,in order to provide reliable preference relationships for subsequent consensus building,consistency testing meth-ods and adjustment models are designed according to the characteristics of fuzzy preference relationships.Secondly,considering that when experts are under pressure from group norms,they will exhibit conformity behavior,so we need to modify the initial utility value.Then,a minimum cost consensus model considering conformity behavior is proposed,and corresponding consensus reaching algorithms are further designed.Finally,we calculate the distance from each selected solution to the ideal point,use TOPSIS method to rank the selected solutions,and analyze and demon-strate the effectiveness and feasibility of the proposed method through an example of enterprise product upgrading and improvement.
Group consensusfuzzy preference relationconformity behaviormini-mum cost consensus modelTOPSIS
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