DocumentCode
1750589
Title
Fuzzy Markov chains
Author
Buckley, James J. ; Feuring, Thomas ; Hayashi, Yoichi
Author_Institution
Dept. of Math., Alabama Univ., Birmingham, AL, USA
fYear
2001
fDate
25-28 July 2001
Firstpage
2708
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;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.943652
Filename
943652
Link To Document