Please use this identifier to cite or link to this item: https://hdl.handle.net/10953/1797
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dc.contributor.authorWei, Cuiping-
dc.contributor.authorRodriguez, Rosa M.-
dc.contributor.authorLi, Peng-
dc.date.accessioned2024-01-31T08:12:25Z-
dc.date.available2024-01-31T08:12:25Z-
dc.date.issued2020-02-
dc.identifier.citationC. Wei, R.M. Rodríguez, P. Li, Note on entropies of hesitant fuzzy linguistic term sets and their applications. Information Sciences, vol. 512, pp. 352-368, 2020. 10.1016/j.ins.2019.06.018es_ES
dc.identifier.issn0020-0255es_ES
dc.identifier.other10.1016/j.ins.2019.06.018es_ES
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0020025519305559es_ES
dc.identifier.urihttps://hdl.handle.net/10953/1797-
dc.description.abstractHesitant fuzzy linguistic term set (HFLTS) is very useful in depicting the situations where people are hesitant to provide their opinions or assessments. In a HFLTS, it should be con- sidered two types of uncertainty, fuzziness and hesitation. This paper is aimed to inves- tigate the problem of how apply different uncertainty facets in different decision making settings. First, a new construction method of a fuzzy entropy for HFLTSs is proposed and it is compared with other methods already introduced in the literatures. Afterwards, these entropy formulas are used to propose two algorithms for deriving the criteria weights and experts weights. Different from the existing applications, it is stressed that in the process of deriving the criteria weights, only the hesitancy of the HFLTS should be considered, while in the process of deriving the experts weights with hesitant fuzzy preference rela- tion information, both the fuzziness and hesitancy of the evaluation information should be involved.es_ES
dc.description.sponsorshipNational Natural Science Foundation of China ( 71371107 , 71702087 ) y Spanish Ministry of Economy and Competitiveness, Postdoctoral fellow Ramón y Cajal (RYC-2017-21978).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofInformation Sciences [2020]; [512]:[352-368]es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectGroup decision makinges_ES
dc.subjectHesitant fuzzy linguistic term setes_ES
dc.subjectEntropyes_ES
dc.subjectFuzzinesses_ES
dc.subjectHesitancyes_ES
dc.subjectWeightses_ES
dc.titleNote on entropies of hesitant fuzzy linguistic term sets and their applicationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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