Fuzzy Sets and Systems
Fuzzy Sets and Systems - Fuzzy Numbers
On the fuzzy initial value problem
Fuzzy Sets and Systems - Fuzzy Numbers
The Cauchy problem for fuzzy differential equations
Fuzzy Sets and Systems
Differential equations and dynamical systems
Differential equations and dynamical systems
Information Sciences—Informatics and Computer Science: An International Journal
The Cauchy problem for continuous fuzzy differential equations
Fuzzy Sets and Systems
Existence and uniqueness of solutions to Cauchy problem of fuzzy differential equations
Fuzzy Sets and Systems
Numerical methods for fuzzy initial value problems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy initial value problem for Nth-order linear differential equations
Fuzzy Sets and Systems
Brief note on the variation of constants formula for fuzzy differential equations
Fuzzy Sets and Systems
Quasi-flows and equations with nonlinear differentials
Nonlinear Analysis: Theory, Methods & Applications
Towards the theory of fuzzy differential equations
Fuzzy Sets and Systems
First order linear fuzzy differential equations under generalized differentiability
Information Sciences: an International Journal
Nicholson's blowflies revisited: A fuzzy modeling approach
Fuzzy Sets and Systems
Numerical methods forfuzzy differential inclusions
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Fuzzy quasilinear spaces and applications
Fuzzy Sets and Systems
Two-point boundary value problems of undamped uncertain dynamical systems
Fuzzy Sets and Systems
Improved predictor-corrector method for solving fuzzy initial value problems
Information Sciences: an International Journal
Comparation between some approaches to solve fuzzy differential equations
Fuzzy Sets and Systems
A runge-kutta method with lower function evaluations for solving hybrid fuzzy differential equations
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
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This paper investigates linear first-order fuzzy differential dynamical systems where the initial condition is described by a fuzzy number. We use a complex number representation of the @a-level sets of the fuzzy system and prove theorems that provide the solutions under such representation, which is applicable to practical computations and also has some implications for theory. Then the paper shows some properties of the two-dimensional dynamical systems, and their phase portraits are described by means of examples. There may be a significant difference between the solutions according to whether the matrix is nonnegative or not; finally, the paper points out future research on the fuzzy dynamical systems.