Hesitant Fuzzy Linguistic Terms Sets for Decision Making

Dealing with uncertainty is always a challenging problem, and different tools have been proposed to deal with it. Recently, a new model that is based on hesitant fuzzy sets has been presented to manage situations in which experts hesitate between several values to assess an indicator, alternative, v...

Descripción completa

Detalles Bibliográficos
Autores: Rodríguez, Rosa M., Martínez, Luis, Herrera, Francisco
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:dnet:ruja________::ca4a79ef969f32f02bf5ae85afd601c7
Acceso en línea:https://ieeexplore.ieee.org/document/6030926
https://hdl.handle.net/10953/1761
Access Level:acceso abierto
Palabra clave:Context-free grammar
fuzzy linguistic approach
hesitant fuzzy sets
linguistic decision making
linguistic information
id ES_a5a6e8976fbbd99f21c7d4ae3219dbd2
oai_identifier_str oai:dnet:ruja________::ca4a79ef969f32f02bf5ae85afd601c7
network_acronym_str ES
network_name_str España
repository_id_str
spelling Hesitant Fuzzy Linguistic Terms Sets for Decision MakingRodríguez, Rosa M.Martínez, LuisHerrera, FranciscoContext-free grammarfuzzy linguistic approachhesitant fuzzy setslinguistic decision makinglinguistic informationDealing with uncertainty is always a challenging problem, and different tools have been proposed to deal with it. Recently, a new model that is based on hesitant fuzzy sets has been presented to manage situations in which experts hesitate between several values to assess an indicator, alternative, variable, etc. Hesitant fuzzy sets suit the modeling of quantitative settings; however, similar situations may occur in qualitative settings so that experts think of several possible linguistic values or richer expressions than a single term for an indicator, alternative, variable, etc. In this paper, the concept of a hesitant fuzzy linguistic term set is introduced to provide a linguistic and computational basis to increase the richness of linguistic elicitation based on the fuzzy linguistic approach and the use of context-free grammars by using comparative terms. Then, a multicriteria linguistic decision-makingmodel is presented in which experts provide their assessments by eliciting linguistic expressions. This decision model manages such linguistic expressions by means of its representation using hesitant fuzzy linguistic term sets.Research Project TIN-2009-08286, P08-TIC-3548 y European fund for regional developmentIEEE202420242012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ieeexplore.ieee.org/document/6030926https://hdl.handle.net/10953/1761reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésIEEE Transactions on Fuzzy Systems [2012];[20][1]:[109-119]Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:dnet:ruja________::ca4a79ef969f32f02bf5ae85afd601c72026-06-24T12:41:07Z
dc.title.none.fl_str_mv Hesitant Fuzzy Linguistic Terms Sets for Decision Making
title Hesitant Fuzzy Linguistic Terms Sets for Decision Making
spellingShingle Hesitant Fuzzy Linguistic Terms Sets for Decision Making
Rodríguez, Rosa M.
Context-free grammar
fuzzy linguistic approach
hesitant fuzzy sets
linguistic decision making
linguistic information
title_short Hesitant Fuzzy Linguistic Terms Sets for Decision Making
title_full Hesitant Fuzzy Linguistic Terms Sets for Decision Making
title_fullStr Hesitant Fuzzy Linguistic Terms Sets for Decision Making
title_full_unstemmed Hesitant Fuzzy Linguistic Terms Sets for Decision Making
title_sort Hesitant Fuzzy Linguistic Terms Sets for Decision Making
dc.creator.none.fl_str_mv Rodríguez, Rosa M.
Martínez, Luis
Herrera, Francisco
author Rodríguez, Rosa M.
author_facet Rodríguez, Rosa M.
Martínez, Luis
Herrera, Francisco
author_role author
author2 Martínez, Luis
Herrera, Francisco
author2_role author
author
dc.subject.none.fl_str_mv Context-free grammar
fuzzy linguistic approach
hesitant fuzzy sets
linguistic decision making
linguistic information
topic Context-free grammar
fuzzy linguistic approach
hesitant fuzzy sets
linguistic decision making
linguistic information
description Dealing with uncertainty is always a challenging problem, and different tools have been proposed to deal with it. Recently, a new model that is based on hesitant fuzzy sets has been presented to manage situations in which experts hesitate between several values to assess an indicator, alternative, variable, etc. Hesitant fuzzy sets suit the modeling of quantitative settings; however, similar situations may occur in qualitative settings so that experts think of several possible linguistic values or richer expressions than a single term for an indicator, alternative, variable, etc. In this paper, the concept of a hesitant fuzzy linguistic term set is introduced to provide a linguistic and computational basis to increase the richness of linguistic elicitation based on the fuzzy linguistic approach and the use of context-free grammars by using comparative terms. Then, a multicriteria linguistic decision-makingmodel is presented in which experts provide their assessments by eliciting linguistic expressions. This decision model manages such linguistic expressions by means of its representation using hesitant fuzzy linguistic term sets.
publishDate 2012
dc.date.none.fl_str_mv 2012
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://ieeexplore.ieee.org/document/6030926
https://hdl.handle.net/10953/1761
url https://ieeexplore.ieee.org/document/6030926
https://hdl.handle.net/10953/1761
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv IEEE Transactions on Fuzzy Systems [2012];[20][1]:[109-119]
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869415632898883584
score 15,81155

Similares en LA Referencia