Scalarization of Type-1 Fuzzy Markov Chains

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URI: http://hdl.handle.net/10818/36965
Visitar enlace: https://link.springer.com/chap ...
DOI: 10.1007/978-3-642-14922-1_15
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Autor/es
Kalenatic, Dusko; Figueroa García, Juan Carlos; López, Cesar Amílcar
Fecha
2010
Resumen
This 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.
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Advanced Intelligent Computing Theories and Applications pp 110-117
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