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Interval Type 2 Fuzzy Markov Chains Type Reduction

Interval Type-2 Fuzzy Markov Chains: Type Reduction

dc.contributor.authorFigueroa García, Juan Carlos
dc.contributor.authorKalenatic, Dusko
dc.contributor.authorLópez, Cesar Amílcar
dc.date.accessioned8/22/2019 10:48
dc.date.available8/22/2019 10:48
dc.date.issued2011
dc.identifier.otherhttps://link.springer.com/chapter/10.1007/978-3-642-25944-9_28
dc.identifier.urihttp://hdl.handle.net/10818/36767
dc.description10 páginases_CO
dc.description.abstractThis paper shows an application of Type-reduction algorithms for computing the steady state of an Interval Type-2 Fuzzy Markov Chain (IT2FM). The IT2FM approach is an extension of the scope of a Type-1 fuzzy markov chain (T1FM) that allows to embed several Type-1 fuzzy sets (T1FS) inside its Footprint of Uncertainty. In this way, a finite state Fuzzy Markov Chain process is defined on an Interval Type-2 Fuzzy environment, finding their limiting properties and its Type-reduced behavior. To do so, two examples are provided.en
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherInternational Conference on Intelligent Computinges_CO
dc.relation.ispartofseriesAdvanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence pp 211-218
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.subjectStationary transition matrixen
dc.subjectType reductionen
dc.subjectFuzzy matrixen
dc.subjectFuzzy matriceen
dc.subjectStrong ergodicen
dc.titleInterval Type 2 Fuzzy Markov Chains Type Reductionen
dc.titleInterval Type-2 Fuzzy Markov Chains: Type Reductiones_CO
dc.title.alternativeInterval Type 2 Fuzzy Markov Chains Type Reductionen
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi10.1007/978-3-642-25944-9_28


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