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Interval Type-2 Fuzzy Markov Chains: Type Reduction

Acceso Cerrado
ID Minciencias: ART-0000166618-68
Ranking: ART-ART_A2

Abstract:

This 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.

Tópico:

Fuzzy Logic and Control Systems

Citaciones:

Citations: 4
4

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Información de la Fuente:

SCImago Journal & Country Rank
FuenteLecture notes in computer science
Cuartil año de publicaciónNo disponible
VolumenNo disponible
IssueNo disponible
Páginas211 - 218
pISSNNo disponible
ISSN1611-3349

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