@inproceedings{94717f8abc5d493981915aa0674ed457,
title = "Fuzzy differential equations for modeling and control of fuzzy systems",
abstract = "A survey of the methodologies associated with the modeling and control of uncertain nonlinear systems has been given due importance in this paper. The basic criteria that highlights the work is relied on the various patterns of techniques incorporated for the solutions of fuzzy differential equations (FDEs) that corresponds to fuzzy controllability subject. The solutions which are generated by these equations are considered to be the controllers. Currently, numerical techniques have come out as superior techniques in order to solve these types of problems. The implementation of neural networks technique is contributed in the complex way of dealing the appropriate solutions of the fuzzy systems.",
keywords = "Modeling, Fuzzy Differential Equation, Fuzzy system",
author = "Raheleh Jafari and Sina Razvarz and Alexander Gegov",
year = "2019",
month = jan,
day = "29",
doi = "10.1007/978-3-030-04164-9_96",
language = "English",
isbn = "978-3-030-04163-2",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "732--740",
editor = "Aliev, {R. A.} and J. Kacprzyk and W. Pedrycz and M. Jamshidi and Sadikoglu, {F. M.}",
booktitle = "13th International Conference on Applications of Fuzzy Systems and Soft Computing - ICAFS 2018",
note = "13th International Conference on Applications of Fuzzy Systems and Soft Computing, ICAFS 2018 ; Conference date: 27-08-2018 Through 28-08-2018",
}