%0 Generic
%A Kalenatic, Dusko
%A Figueroa García, Juan Carlos
%A López, Cesar Amílcar
%8 2010
%U http://hdl.handle.net/10818/36965
%X 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.
%I International Conference on Intelligent Computing
%K Markov Chain
%K Stationary Distribution
%K Fuzzy Relation
%K Stationary Transition Matrix Fuzzy Random Variable
%T Scalarization of Type-1 Fuzzy Markov Chains
%R 10.1007/978-3-642-14922-1_15
%~ Intellectum