A learning procedure to estimate missing values in fuzzy preference relations based on additive consistency

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dc.contributor.authorAlonso, S.
dc.contributor.authorChiclana, Francisco
dc.contributor.authorHerrera, F.
dc.contributor.authorHerrera-Viedma, Enrique
dc.date.accessioned2009-03-05T10:37:45Z
dc.date.available2009-03-05T10:37:45Z
dc.date.issued2004
dc.identifier.citationAlonso, S., Chiclana, F. Herrera, F. and Herrera-Viedma, E. (2004) A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency. In: V. Torra and Y. Narukawa (Eds.): Modeling Decisions for Artificial Intelligence. Proceedings 1st International Conference, MDAI 2004, Barcelona, Spain, August 2-4, 2004, Series: Lecture Notes in Computer Science, Subseries : Lecture Notes in Artificial Intelligence, 3131, pp. 227-238.en
dc.identifier.doihttps://doi.org/10.1007/978-3-540-27774-3_22
dc.identifier.isbn3-540-22555-2
dc.identifier.urihttp://hdl.handle.net/2086/1145
dc.language.isoenen
dc.publisherSpringer-Verlag Heidelbergen
dc.researchgroupDIGITSen
dc.researchgroupCentre for Computational Intelligence
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.titleA learning procedure to estimate missing values in fuzzy preference relations based on additive consistencyen
dc.typeBook chapteren

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