Results 111 to 120 of about 1,042,198 (135)
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Interval Analysis was introduced as an attempt to handle interval uncertainty that appears in many mathematical or computer models of some deterministic real-world phenomena: Interval Analysis, Reliable Computing, Validated Numerics, Interval problems ...
Luciano Stefanini, Barnabas Bede
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This article provides a new characterization of the switching points for generalized Hukuhara differentiability and shows that the set of all switching points is at most countable.
Yurilev Chalco-Cano +2 more
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The application of fuzzy Laplace transform by using generalized Hukuhara derivative
2021Summary: In this research an analytic method is used to solve fuzzy heat equation with fuzzy initial values, which is based on generalized Hukuhara differentiability. At first, we define fuzzy laplace transform in \(t\) considering \(x\) as a parameter on fuzzy functions \(u(x, t)\) and their derivatives by using generalized Hukuhara differentiability.
Ahmadi, Mahnaz Barkhordari +1 more
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Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Debdas Ghosh +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Debdas Ghosh +3 more
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Journal of Intelligent & Fuzzy Systems, 2015
Abstract We combine two aspects, fuzzy mathematics and partial functional differential equations to get fuzzy partial hyperbolic functional differential equations in the sense of generalized Hukuhara-differentiability.
Hoang Viet Long +2 more
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Abstract We combine two aspects, fuzzy mathematics and partial functional differential equations to get fuzzy partial hyperbolic functional differential equations in the sense of generalized Hukuhara-differentiability.
Hoang Viet Long +2 more
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New Mathematics and Natural Computation
In this paper, an intelligence approach based on radial basis function neural networks (RBFNNs) is used for solving fuzzy optimal control problems, utilizing the generalized Hukuhara derivatives. At the first step, we consider the fuzzy Euler–Lagrange conditions for both fuzzy unconstrained and constrained variational problems and Pontryagin maximum ...
Aneseh Kazemi, Alireza Nazemi
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In this paper, an intelligence approach based on radial basis function neural networks (RBFNNs) is used for solving fuzzy optimal control problems, utilizing the generalized Hukuhara derivatives. At the first step, we consider the fuzzy Euler–Lagrange conditions for both fuzzy unconstrained and constrained variational problems and Pontryagin maximum ...
Aneseh Kazemi, Alireza Nazemi
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INTERVAL INTEGRO DYNAMIC EQUATIONS ON TIME SCALES UNDER GENERALIZED HUKUHARA DELTA DERIVATIVE
Advances in Mathematics: Scientific Journal, 2020R. V. N. Udayasree +3 more
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