Clustering and compatibility-based approach for large-scale group decision making with hesitant fuzzy linguistic preference relations: An application in e-waste recycling

作者：

Highlights：

• New hesitant degree and fuzzy degree function of HFLTSs are proposed.

• An optimization model is developed to normalize HFLTSs with different length.

• Experts are classified by clustering method combining similarity and compatibility.

• Compatibility adjusting process with self-selected feedback mechanism is presented.

摘要

•New hesitant degree and fuzzy degree function of HFLTSs are proposed.•An optimization model is developed to normalize HFLTSs with different length.•Experts are classified by clustering method combining similarity and compatibility.•Compatibility adjusting process with self-selected feedback mechanism is presented.

论文关键词：Large-scale group decision making,Similarity measure,Compatibility measure,Clustering,Hesitant fuzzy linguistic preference relation

论文评审过程：Received 5 February 2021, Revised 4 January 2022, Accepted 24 January 2022, Available online 19 February 2022, Version of Record 24 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116615