On the use of coherence measures for fuzzy preference relations
dc.book.title | Preference modelling and decision analysis | |
dc.contributor.author | Franco De Los Ríos, Camilo A. | |
dc.contributor.author | Montero De Juan, Francisco Javier | |
dc.contributor.editor | Burillo, P. | |
dc.contributor.editor | Bustince, H. | |
dc.contributor.editor | De Baets, Bernard | |
dc.contributor.editor | Fodor, János | |
dc.date.accessioned | 2023-06-20T13:42:27Z | |
dc.date.available | 2023-06-20T13:42:27Z | |
dc.date.issued | 2009 | |
dc.description | EuroFuse Workshop, September 16-18, 2009, Pamplona | |
dc.description.abstract | Although consistency in information and actions is a major argument in any decision making problem, most available tools are crisp, while observation strongly suggests to consider different degrees of consistency, i.e.,consistency is fuzzy in nature. In this paper we propose to put together some of the works in the field, focusing on information consistency rather than on action consistency, showing in this way key classification features. | en |
dc.description.department | Depto. de Estadística e Investigación Operativa | |
dc.description.faculty | Fac. de Ciencias Matemáticas | |
dc.description.refereed | TRUE | |
dc.description.sponsorship | Gobierno de España | |
dc.description.status | pub | |
dc.eprint.id | https://eprints.ucm.es/id/eprint/30847 | |
dc.identifier.isbn | 978-84-9769-242-7 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/53455 | |
dc.language.iso | eng | |
dc.page.final | 19 | |
dc.page.initial | 15 | |
dc.page.total | 351 | |
dc.publication.place | Pamplona | |
dc.publisher | Universidad de Navarra | |
dc.relation.projectID | TIN2006-06190 | |
dc.rights.accessRights | open access | |
dc.subject.cdu | 510.64 | |
dc.subject.keyword | Fuzzy Preferences | |
dc.subject.keyword | Consistency Measures | |
dc.subject.keyword | Decision Making. | |
dc.subject.ucm | Lógica simbólica y matemática (Matemáticas) | |
dc.subject.unesco | 1102.14 Lógica Simbólica | |
dc.title | On the use of coherence measures for fuzzy preference relations | en |
dc.type | book part | |
dcterms.references | [1] A. Amo, J. Montero, G. Biging, V. Cutello (2004): Fuzzy classification systems. European Journal of Operational Research 156:459-507. [2] K. Atanassov (1999): Intuitionistic Fuzzy Sets (Physica-Verlag, Heidelberg). [3] L.E.J. Brouwer (1975): Collected Works (North-Holland, Amsterdam). [4] V. Cutello, J. Montero (1993): A characterization of rational amalgamation operations. International Journal of Approximate Reasoning 8:325-344. [5] V. Cutello, J. Montero (1994): Fuzzy rationality measures. Fuzzy Sets and Systems 62:39-44. [6] D. Dubois, S. Gottwald, P. Hajek, J.Kacprzyk, H. Prade (2005): Terminological difficulties in fuzzy set theory-The case of "Intuitionistic Fuzzy Sets". Fuzzy Sets and Systems 156:485-491. [7] J. Fodor. M. Roubens (1994): Fuzzy rreference Modelling and Multicriteria Decision Support (Kluwer Academic Publishers). [8] J.L. García-Lapresta, J. Montero (2004):Consistency of crisp and fuzzy preference relations. Proceedings of the IPMU’04 Conference (Universita La Sapienza, Roma), pp.527-534. [9] A. Heyting (1966): Intuitionism, an Introduction (North-Holland, Amsterdam). [10] J. Montero (1987): Arrow`s theorem under fuzzy rationality. Behavioral Science 32:267-273. [11] J. Montero, D. Gómez, H. Bustince (2007): On the relevance of some families of fuzzy sets. Fuzzy Sets and Systems 158:2429-2442 [12] J. Montero, V. López, D. Gómez (2007): The role of fuzziness in decision making. Studies in Fuzziness and Soft Computing 215:337-349. [13] J. Montero, J. Tejada, V. Cutello (1997):A general model for deriving preference structures from data. European Journal of Operational research 98:98-110. [14] M. Öztürk, A. Tsoukiàs (2008): A. Bipolar preference modelling and aggregation in decision support. International Journal of Intelligent Systems 23:970-984. [15] N. Rescher (1969): Many Valued Logics (New York,McGraw-Hill). [16] A. Sancho-Royo, J.L. Verdegay (2000):Coherence measures on finite fuzzy sets,International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8:541-663. [17] E. Trillas (2006): On the use of words and fuzzy sets. Information Sciences 176 :1463-1487. [18] L.A. Zadeh (1965) : Fuzzy sets.Information and Control 8:338-353. | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 9e4cf7df-686c-452d-a98e-7b2602e9e0ea | |
relation.isAuthorOfPublication.latestForDiscovery | 9e4cf7df-686c-452d-a98e-7b2602e9e0ea |
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