A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models

Linguistic group decision making (LiGDM) aims at solving decision situations involving human decision makers (DMs) whose opinions are modeled by using linguistic information. To achieve agreed solutions that increase DMs' satisfaction toward the collective solution, linguistic consensus reachin...

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Detalhes bibliográficos
Autores: García-Zamora, Diego, Labella, Álvaro, Rodríguez, Rosa M., Martínez, Luis
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2023
País:España
Recursos:Universidad de Jaén
Repositório:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/4258
Acesso em linha:https://hdl.handle.net/10953/4258
Access Level:Acceso aberto
Palavra-chave:computing with words
extended comparative linguistic expressions with symbolic translation information
fuzzy linguistic approach
linguistic cost metric
minimum cost consensus
004.8
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spelling A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus ModelsGarcía-Zamora, DiegoLabella, ÁlvaroRodríguez, Rosa M.Martínez, Luiscomputing with wordsextended comparative linguistic expressions with symbolic translation informationfuzzy linguistic approachlinguistic cost metricminimum cost consensus004.8Linguistic group decision making (LiGDM) aims at solving decision situations involving human decision makers (DMs) whose opinions are modeled by using linguistic information. To achieve agreed solutions that increase DMs' satisfaction toward the collective solution, linguistic consensus reaching processes (LiCRPs) have been developed. These LiCRPs aim at suggesting DMs to change their original opinions to increase the group consensus degree, computed by a certain consensus measure. In recent years, these LiCRPs have been a prolific research line, and consequently, numerous proposals have been introduced in the specialized literature. However, we have pointed out the nonexistence of objective metrics to compare these models and decide which one presents the best performance for each LiGDM problem. Therefore, this article aims at introducing a metric to evaluate the performance of LiCRPs that takes into account the resulting consensus degree and the cost of modifying DMs' initial opinions. Such a metric is based on a linguistic comprehensive minimum cost consensus (CMCC) model based on Extended Comparative Linguistic Expressions with Symbolic Translation information that models DMs' hesitancy and provides accurate Computing with Words processes. In addition, the linguistic CMCC optimization model is linearized to speed up the computational model and improve its accuracy.This work was supported in part by the Spanish Ministry of Economy and Competitiveness through the Postdoctoral fellow Ramón y Cajal under Grant RYC-2017-21978, in part by the Operative program ERDF Andalusia in the University of Jaén, in part by the Spanish Ministry of Science, Innovation and Universities through a Formación de Profesorado Universitario under Grant FPU2019/01203, in part by the Junta de Andalucía, Andalusian Plan for Research, Development, and Innovation under Grant POSTDOC 21-00461, and in part by the National Natural Science Foundation of China under Grant 2171182.IEEE202520252023info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/10953/4258reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésIEEE Transactions on Fuzzy Systems 2023;5;1676-1688CC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/42582026-06-24T12:41:07Z
dc.title.none.fl_str_mv A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models
title A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models
spellingShingle A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models
García-Zamora, Diego
computing with words
extended comparative linguistic expressions with symbolic translation information
fuzzy linguistic approach
linguistic cost metric
minimum cost consensus
004.8
title_short A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models
title_full A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models
title_fullStr A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models
title_full_unstemmed A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models
title_sort A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models
dc.creator.none.fl_str_mv García-Zamora, Diego
Labella, Álvaro
Rodríguez, Rosa M.
Martínez, Luis
author García-Zamora, Diego
author_facet García-Zamora, Diego
Labella, Álvaro
Rodríguez, Rosa M.
Martínez, Luis
author_role author
author2 Labella, Álvaro
Rodríguez, Rosa M.
Martínez, Luis
author2_role author
author
author
dc.subject.none.fl_str_mv computing with words
extended comparative linguistic expressions with symbolic translation information
fuzzy linguistic approach
linguistic cost metric
minimum cost consensus
004.8
topic computing with words
extended comparative linguistic expressions with symbolic translation information
fuzzy linguistic approach
linguistic cost metric
minimum cost consensus
004.8
description Linguistic group decision making (LiGDM) aims at solving decision situations involving human decision makers (DMs) whose opinions are modeled by using linguistic information. To achieve agreed solutions that increase DMs' satisfaction toward the collective solution, linguistic consensus reaching processes (LiCRPs) have been developed. These LiCRPs aim at suggesting DMs to change their original opinions to increase the group consensus degree, computed by a certain consensus measure. In recent years, these LiCRPs have been a prolific research line, and consequently, numerous proposals have been introduced in the specialized literature. However, we have pointed out the nonexistence of objective metrics to compare these models and decide which one presents the best performance for each LiGDM problem. Therefore, this article aims at introducing a metric to evaluate the performance of LiCRPs that takes into account the resulting consensus degree and the cost of modifying DMs' initial opinions. Such a metric is based on a linguistic comprehensive minimum cost consensus (CMCC) model based on Extended Comparative Linguistic Expressions with Symbolic Translation information that models DMs' hesitancy and provides accurate Computing with Words processes. In addition, the linguistic CMCC optimization model is linearized to speed up the computational model and improve its accuracy.
publishDate 2023
dc.date.none.fl_str_mv 2023
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10953/4258
url https://hdl.handle.net/10953/4258
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv IEEE Transactions on Fuzzy Systems 2023;5;1676-1688
dc.rights.none.fl_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
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
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score 15.228081

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