Expected transition costs based on a Markov model having fuzzy states with an application to policy selection

Stochastic Analysis and Applications

Volumn 16, Issue 1, 1998, Pages 51-64

  De Korvin, A ^a   Kleyle, R ^b  

^a UNIVERSITY OF HOUSTON DOWNTOWN   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 21944451895     PISSN: 07362994     EISSN: None     Source Type: Journal    
DOI: 10.1080/07362999808809516     Document Type: Article

References (10)

1. Dempster, A.P., Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, 38 (1967), pp. 325-339.
2. Jain, R., Decision making in the presence of fuzzy variables. IEEE Transactions on Systems, Man and Cybernetics, SCM-6 (1976), pp. 698-703.
3. Kleyle, R. and de Korvin, A., Policy selection based on a Markov model with fuzzy transition probabilities. To appear in the Journal of Intelligent and Fuzzy Systems.
4. Kleyle, R. and de Korvin, A., An approach to object identification using fuzzy expected payoffs. To appear in the Journal of Intelligent and Fuzzy Systems.
5. Kleyle, R. and de Korvin, A., Transition probabilities for Markov chains having fuzzy states. To appear in Stochastic Analysis and Applications.
6. Norton, J., Limit theorems for Dempster's rule of combination. Theory and Decisions, 25 (1988), pp. 287-313.
7. Ogawa, H. and Fu, K.S., An inexact inference for damage assessment of existing structures. International Journal of Man-Machine Studies, 22 (1985), pp. 295-306.
8. Shafer, G., 1976, A Mathematical Theory of Evidence, Princeton University Press, Princeton, NJ.
9. Smets, P., Belief functions versus probability functions. Uncertainty in Artificial Intelligence, 5 (1990), pp. 1-8.
10. Zadeh, L., Fuzzy Sets. Information and Control, 8 (1965), 338-353.