Dual consistency-driven group decision making method based on fuzzy preference relation

[EN] Consistency testing and adjustment of preference relations are prerequisites for group decision making; the forced integration of preference relations without consensus may lead to misleading decisions. To address this issue, following the principle of minimal information loss in consensus reac...

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Autores: Zhang, Chonghui, Dong, Xiangyu, Zeng, Shouzhen, Llopis-Albert, Carlos|||0000-0002-1349-2716
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/220569
Acceso en línea:https://riunet.upv.es/handle/10251/220569
Access Level:acceso abierto
Palabra clave:Decision support systems
Goal programming
Group decision making
Fuzzy preference relation
Minimum information loss
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spelling Dual consistency-driven group decision making method based on fuzzy preference relationZhang, ChonghuiDong, XiangyuZeng, ShouzhenLlopis-Albert, Carlos|||0000-0002-1349-2716Decision support systemsGoal programmingGroup decision makingFuzzy preference relationMinimum information loss[EN] Consistency testing and adjustment of preference relations are prerequisites for group decision making; the forced integration of preference relations without consensus may lead to misleading decisions. To address this issue, following the principle of minimal information loss in consensus reaching, we propose a dual consistency-driven group decision making method based on the fuzzy preference relation between individuals and groups. First, a bidirectional adjustment amount is introduced in the individual consistency process to avoid unidirectional expansion or reduction of the degree of fuzzy preference. Second, considering that the adjustment of fuzzy preference information in the process of group negotiation will change the weight of expert, a goal programming based on the dual adjustment of dynamic weights and preference information is constructed, which can solve the problem of contradictory order values before and after the expert weights adjustment and improve the level of group consensus and the efficiency of group consensus reaching. Finally, the effectiveness of the proposed methodology through an analysis of case studies is verified.This work is supported by the Social Sciences Planning Projects of Ningbo (G2023-2-65) and Ningbo Natural Science Foundation (2023J101).ElsevierEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialDepartamento de Ingeniería Mecánica y de MaterialesInstituto Universitario de Investigación Concertado de Ingeniería Mecánica y BiomecánicaNatural Science Foundation of NingboRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-03-15journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/220569reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengNatural Science Foundation of Ningbo Natural Science Foundation of Ningbo 2023J101Natural Science Foundation of Ningbo Natural Science Foundation of Ningbo G2023-2-65open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2205692026-06-13T07:49:27Z
dc.title.none.fl_str_mv Dual consistency-driven group decision making method based on fuzzy preference relation
title Dual consistency-driven group decision making method based on fuzzy preference relation
spellingShingle Dual consistency-driven group decision making method based on fuzzy preference relation
Zhang, Chonghui
Decision support systems
Goal programming
Group decision making
Fuzzy preference relation
Minimum information loss
title_short Dual consistency-driven group decision making method based on fuzzy preference relation
title_full Dual consistency-driven group decision making method based on fuzzy preference relation
title_fullStr Dual consistency-driven group decision making method based on fuzzy preference relation
title_full_unstemmed Dual consistency-driven group decision making method based on fuzzy preference relation
title_sort Dual consistency-driven group decision making method based on fuzzy preference relation
dc.creator.none.fl_str_mv Zhang, Chonghui
Dong, Xiangyu
Zeng, Shouzhen
Llopis-Albert, Carlos|||0000-0002-1349-2716
author Zhang, Chonghui
author_facet Zhang, Chonghui
Dong, Xiangyu
Zeng, Shouzhen
Llopis-Albert, Carlos|||0000-0002-1349-2716
author_role author
author2 Dong, Xiangyu
Zeng, Shouzhen
Llopis-Albert, Carlos|||0000-0002-1349-2716
author2_role author
author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Departamento de Ingeniería Mecánica y de Materiales
Instituto Universitario de Investigación Concertado de Ingeniería Mecánica y Biomecánica
Natural Science Foundation of Ningbo
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Decision support systems
Goal programming
Group decision making
Fuzzy preference relation
Minimum information loss
topic Decision support systems
Goal programming
Group decision making
Fuzzy preference relation
Minimum information loss
description [EN] Consistency testing and adjustment of preference relations are prerequisites for group decision making; the forced integration of preference relations without consensus may lead to misleading decisions. To address this issue, following the principle of minimal information loss in consensus reaching, we propose a dual consistency-driven group decision making method based on the fuzzy preference relation between individuals and groups. First, a bidirectional adjustment amount is introduced in the individual consistency process to avoid unidirectional expansion or reduction of the degree of fuzzy preference. Second, considering that the adjustment of fuzzy preference information in the process of group negotiation will change the weight of expert, a goal programming based on the dual adjustment of dynamic weights and preference information is constructed, which can solve the problem of contradictory order values before and after the expert weights adjustment and improve the level of group consensus and the efficiency of group consensus reaching. Finally, the effectiveness of the proposed methodology through an analysis of case studies is verified.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-03-15
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/220569
url https://riunet.upv.es/handle/10251/220569
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Natural Science Foundation of Ningbo Natural Science Foundation of Ningbo 2023J101
Natural Science Foundation of Ningbo Natural Science Foundation of Ningbo G2023-2-65
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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