期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 137, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2019.106001
关键词
Group decision making; Hesitant fuzzy linguistic preference relations; Consensus process; Priority weights; Probability sampling
资金
- National Natural Science Foundation of China [71771001, 71701001, 71501002, 71871001]
- Natural Science Foundation for Distinguished Young Scholars of Anhui Province [1908085J03]
- Academic and Technical Leaders Reserve Talents Research Activities Funding Project of Anhui Province [2018H179]
Considering that hesitant fuzzy linguistic preference relation (HFLPR) is an effective way to express decision makers' (DMs') hesitant qualitative preference information for a pair of alternatives or attributes, this paper pays attention to priority weights and consensus of HFLPRs in group decision making (GDM). First, a new similarity measure is presented to measure the similarity of hesitant fuzzy linguistic term sets (HFLTSs), then a consensus improving process with local feedback mechanism is developed to improve the consensus level of HFLPRs until they satisfy a predefined consensus threshold. The new consensus improving process not only provides some specific adjustment scales for DMs, but also maintains the consistency of HFLPRs. After that, a mixed 0-1 programming model is put forward to derive the priority weights of HFLPR. Finally, an example of an investment project selection details the application of the proposed methods and comparative analysis demonstrates the practicability of the proposed methods.
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