A heterogeneous GRA-CBR-based multi-attribute emergency decision-making model considering weight optimization with dual information correlation

作者：

Highlights：

• A novel heterogeneous multi-attribute emergency decision-making model is proposed.

• Distance measure in case-based reasoning is improved by grey relational analysis.

• The weights of attribute are obtained via the optimized relative entropy method.

• The proposed model is competent to heterogeneous multi-attribute decision-making.

摘要

•A novel heterogeneous multi-attribute emergency decision-making model is proposed.•Distance measure in case-based reasoning is improved by grey relational analysis.•The weights of attribute are obtained via the optimized relative entropy method.•The proposed model is competent to heterogeneous multi-attribute decision-making.

论文关键词：Heterogeneous multi attributes,Dual information correlation,Emergency decision-making,Grey relational analysis,Improved case-based reasoning,Grey wolf optimization

论文评审过程：Received 18 February 2020, Revised 23 February 2021, Accepted 13 May 2021, Available online 18 May 2021, Version of Record 30 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115208