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dc.contributor.authorEsteva, Francesc-
dc.contributor.authorGodo, Lluis-
dc.date.accessioned2016-06-14T11:23:33Z-
dc.date.available2016-06-14T11:23:33Z-
dc.date.issued2013-
dc.identifierdoi: 10.1007/978-3-642-35641-4-24-
dc.identifierissn: 1434-9922-
dc.identifierisbn: 978-364235640-7-
dc.identifier.citationStudies in Fuzziness and Soft Computing 298: 153- 163 (2013)-
dc.identifier.urihttp://hdl.handle.net/10261/133429-
dc.description.abstractZadeh proposed and developed the theory of approximate reasoning in a long series of papers in the 1970’s (see e.g. [28–32, 34, 35]), at the same time when he introduced possibility theory [33] as a new approach to uncertainty modeling. His original approach is based on a fuzzy set-based representation of the contents of factual statements (expressing elastic restrictions on the possible values of some parameters) and of if-then rules relating such fuzzy statements.-
dc.publisherSpringer Nature-
dc.rightsclosedAccess-
dc.titleFuzzy set-based approximate reasoning and mathematical fuzzy logic-
dc.typeartículo-
dc.identifier.doi10.1007/978-3-642-35641-4-24-
dc.date.updated2016-06-14T11:23:34Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.relation.csic-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
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