期刊：
International Transactions in Operational Research,2018年25(3):831-856 ISSN：0969-6016
通讯作者：
Wang, Jing
作者机构：
[Wang, Jing; Wang, Jian-qiang; Tian, Zhang-peng] Cent S Univ, Sch Business, Management Sci & Informat Management Dept, Changsha 410083, Peoples R China;[Wang, Jing; Zhao, Dong-yan] Cent South Univ Forestry & Technol, Business & Econ Dept, Int Coll, Changsha 410004, Hunan, Peoples R China
通讯机构：
[Wang, Jing] C;Cent S Univ, Sch Business, Management Sci & Informat Management Dept, Changsha 410083, Peoples R China. Cent South Univ Forestry & Technol, Business & Econ Dept, Int Coll, Changsha 410004, Hunan, Peoples R China.
关键词：
multihesitant fuzzy linguistic term sets;prioritized average operators;Heronian mean operators;linguistic decision making
摘要：
In selecting logistics service providers, the evaluation criteria can be easily prioritized and possibly interrelated with each other, and the assessment of alternatives under qualitative criteria is usually accomplished by more than one decision maker. A novel multicriteria decision-making approach with multihesitant fuzzy linguistic term elements (MHFLTEs) based on the Heronian mean (HM) and prioritized average operators can effectively deal with the problems inherent in such a scenario. Multihesitant fuzzy linguistic term sets (MHFLTSs) were proposed on the basis of multihesitant fuzzy sets (MHFSs) and hesitant fuzzy linguistic sets (HFLSs), where each MHFLTE can contain nonconsecutive and repeated linguistic terms. Using MHFLTEs, one decision maker can provide one or several consecutive linguistic terms in evaluating an alternative under one specific criterion, different decision makers' evaluation values can be collected, and the frequency of a linguistic term in the evaluation information can accord with reality. This paper revises the basic operations and comparison method for MHFLTEs on the basis of the originals and defines some multihesitant fuzzy linguistic HM operators for MHFLTEs to deal with problems in which weight information cannot be accurately established for criteria, but their priorities can be provided in groups or without groups. Finally, the validity and effectiveness of the proposed approach are demonstrated through an illustration of a logistics outsourcing problem and a comparison analysis.
