@article{UZERU_2017_51_1_a1,
author = {V. G. Bardakhchyan},
title = {Fuzzy {Bayesian} inferences},
journal = {Proceedings of the Yerevan State University. Physical and mathematical sciences},
pages = {8--12},
year = {2017},
volume = {51},
number = {1},
language = {en},
url = {http://geodesic.mathdoc.fr/item/UZERU_2017_51_1_a1/}
}
V. G. Bardakhchyan. Fuzzy Bayesian inferences. Proceedings of the Yerevan State University. Physical and mathematical sciences, Tome 51 (2017) no. 1, pp. 8-12. http://geodesic.mathdoc.fr/item/UZERU_2017_51_1_a1/
[1] J. G. Klirl, B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall PTR, 1995 | MR
[2] R. Viertl Statistical Methods for Fuzzy Data, Wiley, Chichester, 2011 | MR | Zbl
[3] R. Viertl, O. Sunanta, “Fuzzy Bayesian Inference.”, METRON, 71:3 (2013), 207–216 | DOI | MR | Zbl
[4] J. Buckley, Fuzzy Probability and Statistics, Berlin, Heidleberg, 2006.
[5] C.C. Yang, “Fuzzy Bayesian Inference”, IEEE International Conference, Proceeding of Systems, Man and Cybernetics, 3, 1997, 2707–2712
[6] O. Osoba, S.Miataim, B. Kosko, “Bayesian Inference with Adaptive Fuzzy Priors and Likelihoods”, IEEE Transactions on Systems, Man and Cybernetics, 41:5 (2011), 1183–1197 | DOI
[7] D.B. Owen, “A Table of Normal Integrals”, Communication in Statistics – Simulation and Computation, 9:4 (1980), 389–419 | DOI | MR
[8] M. Sugeno, Theory of Fuzzy Integrals and Its Applications, PhD Thesis, Tokyo Institute of Technology, 1974