Towards sophisticated decision models: Nonadditive robust ordinal regression for preference modeling

作者：

Highlights：

• The maximal entropy principle enhances NAROR method.

• k-interactive fuzzy measure reduces computational complexity improvements to efficiency of learning fuzzy measures.

• Multiple goal programming efficiently deals with incompatibility constraints.

摘要

•The maximal entropy principle enhances NAROR method.•k-interactive fuzzy measure reduces computational complexity improvements to efficiency of learning fuzzy measures.•Multiple goal programming efficiently deals with incompatibility constraints.

论文关键词：Fuzzy sets,Multicriteria decision making,Fuzzy measure,Ordinal regression,Aggregation functions

论文评审过程：Received 13 March 2019, Revised 5 December 2019, Accepted 6 December 2019, Available online 11 December 2019, Version of Record 7 February 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.105351