Additive consistency analysis and improvement for hesitant fuzzy preference relations

作者：

Highlights：

• Define some consistency indexes for a hesitant fuzzy preference relation (HFPR).

• Develop some minimum adjustment-based models to improve the consistency for an HFPR.

• Numerical examples demonstrate the advantages of the models.

摘要

•Define some consistency indexes for a hesitant fuzzy preference relation (HFPR).•Develop some minimum adjustment-based models to improve the consistency for an HFPR.•Numerical examples demonstrate the advantages of the models.

论文关键词：Hesitant fuzzy set,Hesitant fuzzy preference relation,Consistency,Minimum adjustment,Optimization

论文评审过程：Received 9 October 2017, Revised 3 January 2018, Accepted 11 January 2018, Available online 12 January 2018, Version of Record 6 February 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.01.016