Fuzzy sets and probability

Fuzzy Sets and Systems

Volumn 90, Issue 2, 1997, Pages 129-132

  Nguyen, Hung T ^a  

^a NEW MEXICO STATE UNIVERSITY   (United States)

Author keywords

Probability theory; Statistics

Indexed keywords

EID: 0000865529     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(97)00078-X     Document Type: Article

References (12)

1. R.J. Aumann, L.S. Shapley, Values of Non-atomic Games, Princeton University Press, Princeton, NJ, 1974.
2. B.R. Barmish, New Tools for Robustness of Linear Systems, McMillan, New York, 1994.
3. C. Elkan, The paradoxical success of fuzzy logic, Proc. AAAI-93, 1993, 698-703.
4. M. Gehrke, C. Walker, E. Walker, A mathematical setting for fuzzy logic, preprint, 1995.
5. I.R. Goodman, Fuzzy sets as equivalence classes of random sets, in: R. Yager et al. (Eds.), Recent Developments in Fuzzy Sets and Possibility Theory, Pergamon Press, New York, 1982, pp. 327-432.
6. I.R. Goodman, H.T. Nguyen, G.S. Rogers, On scoring approach to the admissibility of uncertainty measures in expert systems, J. Math. Anal. Appl. 159 (1) (1991) 550-594.
7. D.V. Lindley, scoring rules and the inevitability of probability, Int. Statist. Rev. 50 (1982) 1-26.
8. K.G. Manton, M.A. Woodbury, H.D. Tolley, Statistical Applications Using Fuzzy Sets, Wiley, New York, 1994.
9. I.S. Molchanov, Limit Theorems for Unions of Random Closed Sets, Lecture Notes in Mathematics, Vol. 1561, Springer, Berlin, 1993.
10. F. Mosteller, C. Youtz, Quantifying probabilistic expressions, J. Statist. Sci. 15 (1) (1990) 2-34.
11. H.T. Nguyen, O.M. Kosheleva, V. Kreinovich, Is the sucess of fuzzy logic really paradoxical? J. Intelligent Systems (11) (1996) 295-326.
12. Technometrics, A Probabilistic and statistical view of fuzzy methods, with discussions, Technometrics 37 (3) (1995) 249-293.