Consensus Building With Individual Consistency Control in Group Decision Making
The individual consistency and the consensus degree are two basic measures to conduct group decision making with reciprocal preference relations. The existing frameworks to manage individual consistency and consensus degree have been investigated intensively and follow a common resolution scheme com...
| Authors: | , , , , |
|---|---|
| Format: | article |
| Status: | Published version |
| Publication Date: | 2018 |
| Country: | España |
| Institution: | Universidad de Jaén |
| Repository: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:ruja.ujaen.es:10953/1791 |
| Online Access: | https://ieeexplore.ieee.org/document/8410802 https://hdl.handle.net/10953/1791 |
| Access Level: | Open access |
| Keyword: | Consensus consistency group decision making optimization preference relations |
| id |
ES_e9ba43ce6d4941b2f45c640154ecceeb |
|---|---|
| oai_identifier_str |
oai:ruja.ujaen.es:10953/1791 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Consensus Building With Individual Consistency Control in Group Decision MakingLi, CongCongRodriguez, Rosa M.Martinez, LuisDong, YuchengHerrera, FranciscoConsensusconsistencygroup decision makingoptimizationpreference relationsThe individual consistency and the consensus degree are two basic measures to conduct group decision making with reciprocal preference relations. The existing frameworks to manage individual consistency and consensus degree have been investigated intensively and follow a common resolution scheme composed by the two phases: the consistency improving process, and the consensus reaching process. But in these frameworks, the individual consistency will often be destroyed in the consensus reaching process, leading to repeat the consistency improving process, which is time consuming. In order to avoid repeating the consistency improving process, a consensus reaching process with individual consistency control is proposed in this paper. This novel consensus approach is based on the design of an optimization-based consensus rule, which can be used to determine the adjustment range of each preference value guaranteeing the individual consistency across the process. Finally, theoretical and numerical analysis are both used to justify the validity of our proposal.NSF of China under Grant 71571124 and the Sichuan University under Grant sksyl201705 and 2018hhs-58, the Spanish National Research Project TIN2015-66524-P, Spanish Ministry of Economy and Finance Postdoctoral fellow (IJCI-2015-23715), and ERDFIEEE202420242018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ieeexplore.ieee.org/document/8410802https://hdl.handle.net/10953/1791reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésIEEE Transactions on Fuzzy Systems [2019]; [27]: [319-332]Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/17912026-06-24T12:41:07Z |
| dc.title.none.fl_str_mv |
Consensus Building With Individual Consistency Control in Group Decision Making |
| title |
Consensus Building With Individual Consistency Control in Group Decision Making |
| spellingShingle |
Consensus Building With Individual Consistency Control in Group Decision Making Li, CongCong Consensus consistency group decision making optimization preference relations |
| title_short |
Consensus Building With Individual Consistency Control in Group Decision Making |
| title_full |
Consensus Building With Individual Consistency Control in Group Decision Making |
| title_fullStr |
Consensus Building With Individual Consistency Control in Group Decision Making |
| title_full_unstemmed |
Consensus Building With Individual Consistency Control in Group Decision Making |
| title_sort |
Consensus Building With Individual Consistency Control in Group Decision Making |
| dc.creator.none.fl_str_mv |
Li, CongCong Rodriguez, Rosa M. Martinez, Luis Dong, Yucheng Herrera, Francisco |
| author |
Li, CongCong |
| author_facet |
Li, CongCong Rodriguez, Rosa M. Martinez, Luis Dong, Yucheng Herrera, Francisco |
| author_role |
author |
| author2 |
Rodriguez, Rosa M. Martinez, Luis Dong, Yucheng Herrera, Francisco |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Consensus consistency group decision making optimization preference relations |
| topic |
Consensus consistency group decision making optimization preference relations |
| description |
The individual consistency and the consensus degree are two basic measures to conduct group decision making with reciprocal preference relations. The existing frameworks to manage individual consistency and consensus degree have been investigated intensively and follow a common resolution scheme composed by the two phases: the consistency improving process, and the consensus reaching process. But in these frameworks, the individual consistency will often be destroyed in the consensus reaching process, leading to repeat the consistency improving process, which is time consuming. In order to avoid repeating the consistency improving process, a consensus reaching process with individual consistency control is proposed in this paper. This novel consensus approach is based on the design of an optimization-based consensus rule, which can be used to determine the adjustment range of each preference value guaranteeing the individual consistency across the process. Finally, theoretical and numerical analysis are both used to justify the validity of our proposal. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 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/8410802 https://hdl.handle.net/10953/1791 |
| url |
https://ieeexplore.ieee.org/document/8410802 https://hdl.handle.net/10953/1791 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
IEEE Transactions on Fuzzy Systems [2019]; [27]: [319-332] |
| 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_ |
1869423077098520576 |
| score |
15.811543 |