Interval Type 2 Fuzzy Markov Chains Type Reduction

Interval Type-2 Fuzzy Markov Chains: Type Reduction

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URI: http://hdl.handle.net/10818/36767
Visitar enlace: https://link.springer.com/chap ...
DOI: 10.1007/978-3-642-25944-9_28
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Autor/es
Figueroa García, Juan Carlos; Kalenatic, Dusko; López, Cesar Amílcar
Fecha
2011
Resumen
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.
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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence pp 211-218
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