Results 11 to 20 of about 61,894 (145)
Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks
With the fuzzy set theory, the uncertainty of nonlinear systems can be modeled using fuzzy differential equations. The solutions of these equations are the model output, but they are very difficult to obtain.
Raheleh Jafari, Wen Yu, Xiaoou Li
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An eigenvalue-eigenvector method for solving a system of fractional differential equations with uncertainty [PDF]
A new method is proposed for solving systems of fuzzy fractional differential equations (SFFDEs) with fuzzy initial conditions involving fuzzy Caputo differentiability.
Aghabeigi, S. +4 more
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A comprehensive literature review of fuzzy differential equations with applications [PDF]
Physical dynamical systems can be described through mathematical models using the theory of differential equations. Many different types of uncertain healing occur in the real-world. Fuzzy logic is an effective mathematical tool for defining the sense of
Kamal Hossain Gazi +6 more
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A Review on Fuzzy Differential Equations
Since the term “Fuzzy differential equations” (FDEs) emerged in the literature in 1978, prevailing research effort has been dedicated not only to the development of the concepts concerning the topic, but also to its potential applications ...
Mehran Mazandarani, Li Xiu
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Under uncertainty, the analytical behaviour of fractional partial differential equations is frequently puzzling and challenging to predict. Therefore, in order to address these problems, it is essential to create a proper, extensive, and highly effective
Muhammad Nadeem +3 more
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The study of the fuzzy differential equation is a topic that researchers are interested in these days. By modelling, this fuzzy differential equation can be used to resolve issues in the real world.
Nurain Zulaikha Husin +2 more
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Novel Analysis of Fuzzy Fractional Emden-Fowler Equations within New Iterative Transform Method
The analytical behavior of fractional differential equations is often puzzling and difficult to predict under uncertainty. It is crucial to develop a robust, extensive, and extremely successful theory to address these problems.
M. Mossa Al-Sawalha +3 more
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In this field of research, in order to solve fuzzy fractional differential equations, they are normally transformed to their corresponding crisp problems. This transformation is called the embedding method.
Tofigh Allahviranloo +3 more
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Diagonally implicit multistep block method of order four for solving fuzzy differential equations using Seikkala derivatives [PDF]
In this paper, the solution of fuzzy differential equations is approximated numerically using diagonally implicit multistep block method of order four.
Abdul Majid, Zanariah +3 more
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On the Analysis of Regularized Fuzzy Systems of Uncertain Differential Equations
This article analyzes a regularized set of fuzzy differential equations with respect to an uncertain parameter. We provide sufficient conditions for the correctness of a new regularization scheme.
Anatoliy Martynyuk +3 more
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