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dc.contributor.authorLiao, Huchang
dc.contributor.authorWu, Di
dc.contributor.authorHuang, Yulong
dc.contributor.authorRen, Peijia
dc.contributor.authorXu, Zeshui
dc.contributor.authorVerma, Mohit
dc.date.accessioned2019-03-19T12:00:46Z
dc.date.available2019-03-19T12:00:46Z
dc.date.issued2018-04-22
dc.identifier.citationLiao, H. [et al.]. Green Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEE. Sustainability 2018, 10, 1291. [http://hdl.handle.net/10481/55017]es_ES
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10481/55017
dc.description.abstractIn the process of evaluating the green levels of cold-chain logistics providers, experts may hesitate between several linguistic terms rather than give precise values over the alternatives. Due to the potential profit and risk of business decisions, decision-making information is often based on experts’ expectations of programs and is expressed as hesitant fuzzy linguistic terms. The consistency of evaluation information of an alternative can reflect the clarity of the alternative in the mind of experts and its own controversy. This paper proposes a method to use the value transfer function in the cumulative prospect theory to convert the original hesitant fuzzy linguistic terms into evaluation information based on reference points. We also introduce the parameters related to the disorder of the systemin the hesitant fuzzy thermodynamic method to describe the quantity and quality characteristics of the alternatives. In these kinds of multi-criteria decision-making problems, the weights of criteria are of great importance for decision-making results. Considering the conflicting cases among criteria, the weights were obtained by utilizing the PROMETHEE method. An illustrative example concerning green logistics provider selection was operated to show the practicability of the proposed method.es_ES
dc.description.sponsorshipThe work was supported in part by the National Natural Science Foundation of China (Nos. 71501135, 71771156, and 71771153), the Scientific Research Foundation for Excellent Young Scholars at Sichuan University (No. 2016SCU04A23), and the Scientific Research Foundation for Scholars at Sichuan University (No. YJ201535).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectGreen logisticses_ES
dc.subjectHesitant fuzzy linguistic term setses_ES
dc.subjectCumulative prospect theoryes_ES
dc.subjectHesitant fuzzy linguistic thermodynamic methodes_ES
dc.subjectPROMETHEEes_ES
dc.titleGreen Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEEes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España