Journal Article

Group Decision Making with Heterogeneous Preference Structures: An Automatic Mechanism to Support Consensus Reaching

Bowen, Zhang, Herrera-Viedma, Enrique, Dong, Yucheng

2019

Overview

In real-world decision problems, decision makers usually express their opinions with different preference structures. In order to deal with the heterogeneous preference information in group decision making, this paper presents an optimization-based consensus model for group decision making with heterogeneous preference structures (utility values, preference orderings, multiplicative preference relations and additive preference relations). This proposal seeks to minimize the information loss between decision makers’ heterogeneous preference information and individual preference vectors and also seeks the collective solution with a consensus. Meanwhile, in order to justify the consensus model, we discuss its internal aggregation operator between the obtained individual and group preference vectors, demonstrate that the proposed model satisfies the Pareto principle of social choice theory, and prove the uniqueness of the solution to the optimization model. Furthermore, based on the proposed optimization-based consensus model, we present an automatic mechanism to support consensus reaching in the group decision making with heterogeneous preference structures. In the consensus reaching process, the obtained individual and group preference vectors are considered as a decision aid which decision makers can use as a reference to adjust their preference opinions. Finally, detailed simulation experiments and comparison analysis are conducted to demonstrate the feasibility and effectiveness of our proposed model.

• Publisher: Springer Nature B.V
• Subject: Attitudes / Decision makers / Decision making / Decision support systems / Experiments / Feasibility / Group decision making / Heterogeneity / Information / Optimization / Pareto optimum / Simulation / Social choice / Social problems / Uniqueness / World problems