A large-group emergency risk decision method based on data mining of public attribute preferences

作者：

Highlights：

• A method for obtaining the public opinion on attributes of emergency decision-making alternatives is proposed.

• A model of decision risk measurement is proposed.

• A clustering algorithm is proposed to deal with large number of decision makers.

• With full consideration of controlling decision risk, the large-group emergency risk decision method is proposed.

摘要

•A method for obtaining the public opinion on attributes of emergency decision-making alternatives is proposed.•A model of decision risk measurement is proposed.•A clustering algorithm is proposed to deal with large number of decision makers.•With full consideration of controlling decision risk, the large-group emergency risk decision method is proposed.

论文关键词：Large-group,Preferences data mining,Risk measure,Emergency risk decision

论文评审过程：Received 3 February 2018, Revised 5 September 2018, Accepted 7 September 2018, Available online 19 September 2018, Version of Record 21 November 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.09.010