Comprehensive rules-based and preferences induced weights allocation in group decision-making with BUI
| dc.contributor.author | Li, GePeng | |
| dc.contributor.author | Yager, Ronald R. | |
| dc.contributor.author | Zhang, XinXing | |
| dc.contributor.author | Mesiar, Radko | |
| dc.contributor.author | Jin, LeSheng | |
| dc.contributor.author | Bustince Sola, Humberto | |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.date.accessioned | 2022-11-21T16:22:45Z | |
| dc.date.available | 2022-11-21T16:22:45Z | |
| dc.date.issued | 2022 | |
| dc.date.updated | 2022-11-18T08:37:01Z | |
| dc.description.abstract | Decision-makers' subjective preferences can be well modeled using preference aggregation operators and related induced weights allocation mechanisms. However, when several different types of preferences occur in some decision environment with more complex uncertainties, repeated uses of preferences induced weights allocation sometimes become unsuitable or less reasonable. In this work, we discuss a common decision environment where several invited experts will offer their respective evaluation values for a certain object. There are three types of preferences which will significantly affect the weights allocations from experts. Instead of unsuitably performing preference induced weights allocation three times independently and then merging the results together using convex combination as some literatures recently did, in this work, we propose some organic and comprehensive rules-based screen method to first rule out some unqualified experts and then take preference induced weights allocation for the refined group of experts. A numerical example in business management and decision-making is presented to show the cognitive reasonability and practical feasibility. © 2022, The Author(s). | en |
| dc.description.sponsorship | This paper is supported by Jiangsu Social Science Foundation with grant 18JD009. This paper is supported by grant APVV-18-0052. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Li, G., Yager, R. R., Zhang, X., Mesiar, R., Bustince, H., & Jin, L. (2022). Comprehensive rules-based and preferences induced weights allocation in group decision-making with bui. International Journal of Computational Intelligence Systems, 15(1), 54. | en |
| dc.identifier.doi | 10.1007/s44196-022-00116-2 | |
| dc.identifier.issn | 1875-6891 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/44428 | |
| dc.language.iso | eng | en |
| dc.publisher | Springer | en |
| dc.relation.ispartof | International Journal of Computational Intelligence Systems (2022) 15:54 | en |
| dc.relation.publisherversion | https://doi.org/10.1007/s44196-022-00116-2 | |
| dc.rights | © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Aggregation operators | en |
| dc.subject | Basic uncertain information | en |
| dc.subject | Decision-making | en |
| dc.subject | Information fusion | en |
| dc.subject | Preference modeling | en |
| dc.title | Comprehensive rules-based and preferences induced weights allocation in group decision-making with BUI | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 1bdd7a0e-704f-48e5-8d27-4486444f82c9 | |
| relation.isAuthorOfPublication.latestForDiscovery | 1bdd7a0e-704f-48e5-8d27-4486444f82c9 |