Fuzzy optimality relation for perceptive MDPs---the average case

Authors:
M. Kurano;M. Yasuda;J. Nakagami;Y. Yoshida
Affiliations:
Faculty of Education, Chiba University, Chiba 263-8522, Japan;Faculty of Science, Chiba University, Chiba 263-8522, Japan;Faculty of Science, Chiba University, Chiba 263-8522, Japan;Faculty of Economics & Business Administration, Kitakyushu University, Kitakyushu 802-8577 Japan
Venue:
Fuzzy Sets and Systems
Year:
2007

Citing 6
Cited 1

Markov Decision Processes: Discrete Stochastic Dynamic Programming

Markov Decision Processes: Discrete Stochastic Dynamic Programming
Fuzzy Sets and Systems: Theory and Applications

Fuzzy Sets and Systems: Theory and Applications
Finite State Markovian Decision Processes

Finite State Markovian Decision Processes
A fuzzy ordering on multi-dimensional fuzzy sets induced from convex cones

Fuzzy Sets and Systems - Fuzzy intervals
A Fuzzy Stopping Problem with the Concept

Fuzzy Optimization and Decision Making
A possibilistic model for qualitative sequential decision problems under uncertainty in partially observable environments

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence

Credibilistic Markov decision processes: The average case

Journal of Computational and Applied Mathematics

Quantified Score

Hi-index	0.21

Visualization

Abstract

In this paper, the fuzzy perceptive model for average reward Markov decision processes is defined and a method of computing the corresponding fuzzy perceptive values is proposed. Under the minorization condition for fuzzy perceptive transition matrices, it is characterized by the optimal average expected reward, called the average perceptive value, using a fuzzy optimality relation. Also, we give a simple numerical example.