Fuzzy stochastic differential system

Document Type : Original Article

Authors
1 University of Applied Science and Technology‎, ‎Center of Mahan Hedaiat‎, ‎Pakdasht‎, ‎Iran.
2 Department of Mathematics‎, ‎SR.C‎, ‎Islamic Azad University‎, ‎Tehran‎, ‎Iran.
3 Department of Mathematics‎, ‎WT.C‎, ‎Islamic Azad University‎, ‎Tehran‎, ‎Iran.
10.22034/maco.5.2.6
Abstract
‎In this paper‎, ‎we study fuzzy stochastic differential equation initial value problems (IVPs)‎. ‎In modeling‎, ‎analyzing‎, ‎and predicting behaviors of physical and natural phenomena‎, ‎greater and greater emphasis has been placed upon fuzzy stochastic methods‎. ‎A large class of physically important problems is described by fuzzy stochastic differential systems‎.
‎We obtain the existence and‎
‎uniqueness theorem for a solution of the fuzzy stochastic differential equation (FSDE) under the Lipschitz condition‎. ‎We‎
‎present characterization theorems for the solution of a FSDE under the m.s‎. ‎derivative-based interpretation‎, ‎by the solution of a system of ODEs‎. ‎Numerical examples are provided which connect the new results with previous findings‎.

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[1] Y. Feng, Convergence theorems for fuzzy random variables and fuzzy martingales, Fuzzy Sets and Systems 103 (1999) 435441.
[2] Y. Feng, Mean square integral and differential of fuzzy stochastic processes, Fuzzy Sets and Systems 102 (1999) 271280.
[3] R.K. Miller, A.N. Michel, Ordinary Differential Equations, Academic Press, New York, 1982.
[4] M.L. Puri, D.A. Ralescu, Fuzzy random variables, J. Math. Anal. Appl. 114 (1986) 409422.
[5] T.T. Song, Random Differential Equations in Science and Engineering, Academic Press, New York, 1973.