Impulsive functional differential inclusions and fuzzy population models
References (13)
Cone-valued Lyiapunov functions and stability of impulsive control systems
Nonlinear. Anal.
(2000)- et al.
Regularity of solution sets for differential inclusions quasiconcave in a parameter
Appl. Math. Lett.
(2000) - et al.
Differentials of fuzzy functions
J. Math. Anal. Appl.
(1983) - et al.
Optimization problems for one-impulsive models from population dynamics
Nonlinear Anal.
(2000) Impulse and Hybrid Control Systems: A Viability Approach, First Preliminary Draft of Lecture Notes of a Mini-course
(1999)- et al.
Differential Inclusions
(1984)
There are more references available in the full text version of this article.
Cited by (127)
Analysis of interval-valued model for interaction between plankton-fish population in marine ecosystem
2023, Ecological ModellingComputational algorithm for solving drug pharmacokinetic model under uncertainty with nonsingular kernel type Caputo-Fabrizio fractional derivative
2021, Alexandria Engineering JournalCitation Excerpt :Fuzzy differential equations appear in various fields of applied mathematics, engineering, physics, and many other areas. These equations have recently gained abundant attention due to their applications in artificial intelligence, image processing, pattern recognition, decision making, population models, particle systems, quantum optics, gravity, medicine, bioinformatics, and computational biology [1–5]. Historically, there are many approaches for fuzzy derivatives, and so for fuzzy differential equations.
A new class of fuzzy fractional differential inclusions driven by variational inequalities
2021, Fuzzy Sets and SystemsA numerical method to solve a fuzzy differential equation via differential inclusions
2021, Fuzzy Sets and SystemsOn the existence for impulsive fuzzy nonlinear integro-differential equations with nonlocal condition
2024, Journal of Mathematics and Computer Science
Copyright © 2002 Elsevier B.V. All rights reserved.