Title :
Fuzzy Markov chains
Author :
Buckley, James J. ; Feuring, Thomas ; Hayashi, Yoichi
Author_Institution :
Dept. of Math., Alabama Univ., Birmingham, AL, USA
Abstract :
We first review some of the basic results of finite Markov chains based on probability theory, then we present fuzzy finite Markov chains based on possibility theory, and compare the results of the two theories. Then we introduce finite horizon Markovian decision processes based on fuzzy Markov chains and study an example in detail showing our solution procedure
Keywords :
Markov processes; decision theory; fuzzy set theory; possibility theory; probability; finite Markov chains; finite horizon Markovian decision processes; fuzzy finite Markov chains; possibility theory; probability theory; Computer science; Convergence; Fuzzy sets; Mathematics; Possibility theory; State-space methods; Uncertainty;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943652
