Method for Large Group Decision-Making with Multiple Elements Considering Multiple Subgroup Opinions

doi:10.12068/j.issn.1005-3026.2020.12.017

Abstract

Abstract: A decision analysis method is proposed for large group decision-making with multiple elements. Firstly， the borda score of each element for each participant is calculated according to the rankings of the constituent elements of the alternatives by the individuals participating in decision-making. Secondly， the average borda score vector of each subgroup is constructed and normalized as a virtual alternative for each subgroup. Then， the weight of each subgroup is calculated considering the differences in the consensus of evaluations of each subgroup. Furthermore， the similarity degree between each virtual solution and each alternative is calculated and aggregated with the weight of each subgroup to obtain the comprehensive similarity degree for each alternative， and then the alternative is ranked accordingly. Finally， the feasibility of the proposed method is illustrated by an example of urban park design alternative selection considering the public will.

Key words: large group decision-making, subgroup, borda score, consensus of evaluations, similarity degree

CLC Number:

C934

LI Ming-yang， WANG Shuang， CAO Ping-ping， ZHAO Xiao-jie. Method for Large Group Decision-Making with Multiple Elements Considering Multiple Subgroup Opinions[J]. Journal of Northeastern University Natural Science, 2020, 41(12): 1781-1787.

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