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Scalarization of Type-1 Fuzzy Markov Chains

dc.contributor.authorKalenatic, Dusko
dc.contributor.authorFigueroa García, Juan Carlos
dc.contributor.authorLópez, Cesar Amílcar
dc.date.accessioned8/30/2019 10:20
dc.date.available8/30/2019 10:20
dc.date.issued2010
dc.identifier.otherhttps://link.springer.com/chapter/10.1007/978-3-642-14922-1_15
dc.identifier.urihttp://hdl.handle.net/10818/36965
dc.description8 páginases_CO
dc.description.abstractThis paper presents a method to transform Fuzzy Markov chains into Crisp Markov chains by means of an equivalence matrix derived from the concept of Scalar cardinality of a fuzzy set. This proposal is a linear transformation of the fuzzy space into a probability space. In this paper, a finite-state Fuzzy Markov Chain is transformed into a crisp Markov chain by a linear operator. It is a projection of the fuzzy space into a probability space which allows to compare them one another.en
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherInternational Conference on Intelligent Computinges_CO
dc.relation.ispartofseriesAdvanced Intelligent Computing Theories and Applications pp 110-117
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceUniversidad de La Sabanaes_CO
dc.sourceIntellectum Repositorio Universidad de La Sabanaes_CO
dc.subjectMarkov Chainen
dc.subjectStationary Distributionen
dc.subjectFuzzy Relationen
dc.subjectStationary Transition Matrix Fuzzy Random Variableen
dc.titleScalarization of Type-1 Fuzzy Markov Chainsen
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi10.1007/978-3-642-14922-1_15


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