dc.date.accessioned8/30/2019 10:20
dc.date.accessioned2022-09-23T14:58:11Z
dc.date.available8/30/2019 10:20
dc.date.available2022-09-23T14:58:11Z
dc.date.created8/30/2019 10:20
dc.date.issued2010
dc.identifierhttps://link.springer.com/chapter/10.1007/978-3-642-14922-1_15
dc.identifierhttp://hdl.handle.net/10818/36965
dc.identifier10.1007/978-3-642-14922-1_15
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3485438
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.
dc.languageeng
dc.publisherInternational Conference on Intelligent Computing
dc.relationAdvanced Intelligent Computing Theories and Applications pp 110-117
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsopenAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.sourceUniversidad de La Sabana
dc.sourceIntellectum Repositorio Universidad de La Sabana
dc.subjectMarkov Chain
dc.subjectStationary Distribution
dc.subjectFuzzy Relation
dc.subjectStationary Transition Matrix Fuzzy Random Variable
dc.titleScalarization of Type-1 Fuzzy Markov Chains
dc.typejournal article


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