Algorithms to Detect and Rectify Multiplicative and Ordinal Inconsistencies of Fuzzy Preference Relations
dc.cclicence | CC-BY-NC | en |
dc.contributor.author | Xu, Yejun | |
dc.contributor.author | Li, Mengqi | |
dc.contributor.author | Cabrerizo, Francisco Javier | |
dc.contributor.author | Chiclana, Francisco | |
dc.contributor.author | Herrera-Viedma, Enrique | |
dc.date.acceptance | 2019-07-17 | |
dc.date.accessioned | 2019-08-06T14:52:28Z | |
dc.date.available | 2019-08-06T14:52:28Z | |
dc.date.issued | 2019-07 | |
dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. | en |
dc.description.abstract | Consistency, multiplicative and ordinal, of fuzzy preference relations (FPRs) is investigated. The geometric consistency index (GCI) approximated thresholds are extended to measure the degree of consistency for an FPR. For inconsistent FPRs, two algorithms are devised (1) to find the multiplicative inconsistent elements, and (2) to detect the ordinal inconsistent elements. An integrated algorithm is proposed to improve simultaneously the ordinal and multiplicative consistencies. Some examples, comparative analysis, and simulation experiments are provided to demonstrate the effectiveness of the proposed methods. | en |
dc.funder | Other external funder (please detail below) | en |
dc.funder.other | National Natural Science Foundation of China (NSFC) | en |
dc.funder.other | Spanish Ministry of Innovation and Universities | en |
dc.identifier.citation | Xu, J., Li, M., Cabrerizo, F.J., Chiclana, F. and Herrera-Viedma, E. (2019) Algorithms to Detect and Rectify Multiplicative and Ordinal Inconsistencies of Fuzzy Preference Relations. IEEE Transactions on Systems, Man and Cybernetics: Systems. | en |
dc.identifier.doi | https://doi.org/10.1109/TSMC.2019.2931536 | |
dc.identifier.uri | https://www.dora.dmu.ac.uk/handle/2086/18308 | |
dc.language.iso | en_US | en |
dc.peerreviewed | Yes | en |
dc.projectid | 71871085 | en |
dc.projectid | 71471056 | en |
dc.projectid | 71433003 | en |
dc.projectid | TIN2016- 75850-R | en |
dc.publisher | IEEEXplore | en |
dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
dc.title | Algorithms to Detect and Rectify Multiplicative and Ordinal Inconsistencies of Fuzzy Preference Relations | en |
dc.type | Article | en |
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