%0 Generic
%A Figueroa García, Juan Carlos
%A Kalenatic, Dusko
%A López, Cesar Amílcar
%8 2011
%U http://hdl.handle.net/10818/36767
%X 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.
%I International Conference on Intelligent Computing
%K Stationary transition matrix
%K Type reduction
%K Fuzzy matrix
%K Fuzzy matrice
%K Strong ergodic
%T Interval Type 2 Fuzzy Markov Chains  Type Reduction
%T Interval Type-2 Fuzzy Markov Chains: Type Reduction
%R 10.1007/978-3-642-25944-9_28
%~ Intellectum