Minimum cost consensus models based on random opinions

作者：

Highlights：

• Minimum cost consensus models with random opinions are proposed in this paper.

• The opinions of decision makers and the moderator obey different distributions.

• Probabilistic planning based on genetic algorithm is used to resolve the models.

• Sensitivity analysis is adopted to discuss different opinions distributions cases.

摘要

•Minimum cost consensus models with random opinions are proposed in this paper.•The opinions of decision makers and the moderator obey different distributions.•Probabilistic planning based on genetic algorithm is used to resolve the models.•Sensitivity analysis is adopted to discuss different opinions distributions cases.

论文关键词：Group decision making,Consensus,Probability distribution,Probabilistic planning,Genetic algorithm

论文评审过程：Received 1 March 2017, Revised 6 June 2017, Accepted 23 July 2017, Available online 25 July 2017, Version of Record 28 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.035