AbstractWe present a representation of fuzzy numbers and its application to the numerical solution of fuzzy differential (initial value) equations (FDE). The generalized differentiability of a fuzzy-valued function g(x) of a real variable x 2]a; b[; as recently introduced by Bede and Gal, is expressed in terms of the differentiability of the lower and upper functions dening its level-cuts [g(x)] = [g (x); g+ (x)] where, for any membership level 2 [0; 1], g g+ are ordinary non-fuzzy functions that are monotonic with respect to . The representation uses a nite decomposition of the membership interval 0 = 0 < 1 <::: < N = 1 and models the level-cuts of the fuzzy numbers and functions to obtain the formulation of a fuzzy diffe...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
In this paper, solution of fuzzy differential equation under general differentiability is obtained b...
The fuzzy transform setting (F-transform), as a tool for general continuous approximation of functio...
The fuzzy transform setting (F-transform), as a tool for general continuous approximation of functi...
The fuzzy transform setting (F-transform), as a tool for general continuous approximation of functio...
In the present paper, we use a new generalization of the Hukuhara difference and derivative for fuzz...
This chapter starts with an overview of basic concepts and results with fuzzy numbers and the corres...
This chapter starts with an overview of basic concepts and results with fuzzy numbers and the corres...
none3This chapter starts with an overview of basic concepts and results with fuzzy numbers and the c...
In this paper, the fully implicit 2-point block backward differentiation formula and diagonally impl...
In this paper, a new Runge-Kutta method be presented which has the fifth order local truncation erro...
In this study, we consider the concept of under generalized differentiability for the fuzzy paraboli...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
In this paper, solution of fuzzy differential equation under general differentiability is obtained b...
The fuzzy transform setting (F-transform), as a tool for general continuous approximation of functio...
The fuzzy transform setting (F-transform), as a tool for general continuous approximation of functi...
The fuzzy transform setting (F-transform), as a tool for general continuous approximation of functio...
In the present paper, we use a new generalization of the Hukuhara difference and derivative for fuzz...
This chapter starts with an overview of basic concepts and results with fuzzy numbers and the corres...
This chapter starts with an overview of basic concepts and results with fuzzy numbers and the corres...
none3This chapter starts with an overview of basic concepts and results with fuzzy numbers and the c...
In this paper, the fully implicit 2-point block backward differentiation formula and diagonally impl...
In this paper, a new Runge-Kutta method be presented which has the fifth order local truncation erro...
In this study, we consider the concept of under generalized differentiability for the fuzzy paraboli...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...
We consider fuzzy differential equations with data L-R type fuzzy numbers. First we construct specia...