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

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成果类型:
期刊论文
作者:
Zheng, Chengli;Zhou, Yuanyuan;Zhou, Ligang;Chen, Huayou
通讯作者:
Zhou, Yuanyuan(zyy_xx@126.com)
作者机构:
[Zhou, Yuanyuan; Zheng, Chengli] Cent China Normal Univ, Financial Engn Res Ctr, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
[Chen, Huayou; Zhou, Ligang] Anhui Univ, Sch Math Sci, Hefei 230601, Anhui, Peoples R China.
[Zhou, Ligang] Anhui Univ, Ctr Appl Math, Hefei 230601, Peoples R China.
通讯机构:
[Yuanyuan Zhou] S
School of Economics and Business Administration, Financial Engineering Research Center, Central China Normal University, Wuhan 430079, China
语种:
英文
关键词:
Clustering;Compatibility measure;Hesitant fuzzy linguistic preference relation;Large-scale group decision making;Similarity measure
期刊:
Expert Systems with Applications
ISSN:
0957-4174
年:
2022
卷:
197
页码:
116615
基金类别:
CRediT authorship contribution statement Chengli Zheng: Writing – review & editing, Supervision, Project administration, acquisition. Yuanyuan Zhou: Conceptualization, Methodology, Software, Writing – original draft. Ligang Zhou: Conceptualization, Data collection, Preparation. Huayou Chen: Data interpretation, Formal analysis. Acknowledgments This work was supported by the Humanities and Social Science Planning Fund from Ministry of Education, China (16YJAZH078), the Fundamental Research Funds for the Central Universities of China (grant nos. CCNU19TS062), National Natural Science Foundation of China (Nos. 72171100, 72171002, 71771001, 71701001, 71871001, 71901001, 71901088, 72071001, 72001001), Natural Science Foundation for Distinguished Young Scholars of Anhui Province, China (No. 1908085J03), Research Project of Academic
机构署名:
本校为第一机构
院系归属:
经济与工商管理学院
摘要:
Considering that large-scale group decision making (LSGDM) has been widely concentrated on clustering and lower compatibility problems, this paper focuses on clustering and consensus reaching of hesitant fuzzy linguistic preference relations (HFLPRs) in LSGDM. Firstly, we define the hesitant degree and the fuzzy degree functions for hesitant fuzzy linguistic term sets (HFLTSs) according to their scale and deviation of elements. To normalize HFLTSs with different length, a minimum deviation model based on the hesitant and the fuzzy degrees is de...

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