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On the use of coherence measures for fuzzy preference relations

dc.book.titlePreference modelling and decision analysis
dc.contributor.authorFranco De Los Ríos, Camilo A.
dc.contributor.authorMontero De Juan, Francisco Javier
dc.contributor.editorBurillo, P.
dc.contributor.editorBustince, H.
dc.contributor.editorDe Baets, Bernard
dc.contributor.editorFodor, János
dc.date.accessioned2023-06-20T13:42:27Z
dc.date.available2023-06-20T13:42:27Z
dc.date.issued2009
dc.descriptionEuroFuse Workshop, September 16-18, 2009, Pamplona
dc.description.abstractAlthough 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.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipGobierno de España
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/30847
dc.identifier.isbn978-84-9769-242-7
dc.identifier.urihttps://hdl.handle.net/20.500.14352/53455
dc.language.isoeng
dc.page.final19
dc.page.initial15
dc.page.total351
dc.publication.placePamplona
dc.publisherUniversidad de Navarra
dc.relation.projectIDTIN2006-06190
dc.rights.accessRightsopen access
dc.subject.cdu510.64
dc.subject.keywordFuzzy Preferences
dc.subject.keywordConsistency Measures
dc.subject.keywordDecision Making.
dc.subject.ucmLógica simbólica y matemática (Matemáticas)
dc.subject.unesco1102.14 Lógica Simbólica
dc.titleOn the use of coherence measures for fuzzy preference relationsen
dc.typebook 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.
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relation.isAuthorOfPublication.latestForDiscovery9e4cf7df-686c-452d-a98e-7b2602e9e0ea

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