In this paper, solution of fuzzy differential equation under general differentiability is obtained by genetic programming (GP). The obtained solution in this method is equivalent or very close to the exact solution of the problem. Accuracy of the solution to this problem is qualitatively better. An illustrative numerical example is presented for the proposed method
We firstly present a generalized concept of higher-order differentiability for fuzzy functions. Then...
In this paper, the fully implicit 2-point block backward differentiation formula and diagonally impl...
We firstly present a generalized concept of higher-order differentiability for fuzzy functions. The...
In this paper, solution of fuzzy differential equation under general differentiability is obtained b...
Fuzzy programming approach has wide application in many fields such as project management, multi-att...
In this paper, a new Runge-Kutta method be presented which has the fifth order local truncation erro...
We study fuzzy differential equations (FDEs) using the strongly generalized differentiability concep...
In this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations Ãx̃...
AbstractWe present a representation of fuzzy numbers and its application to the numerical solution o...
A novel method for solving ordinary and partial differential equations, based on grammatical evoluti...
Improved predictor-corrector method for solving fuzzy differential equations under generalized diffe...
In this paper, an extended fourth-order Runge–Kutta method is studied to approximate the solutions o...
An attempt to solve fuzzy constraint satisfaction problems (FCSPs) with the use of genetic algorithm...
AbstractBased on the introduction of some new concepts of semifeasible direction, Feasible Degree (F...
AbstractIn this paper, we interpret a nonlinear fuzzy Fredholm integro-differential equations by usi...
We firstly present a generalized concept of higher-order differentiability for fuzzy functions. Then...
In this paper, the fully implicit 2-point block backward differentiation formula and diagonally impl...
We firstly present a generalized concept of higher-order differentiability for fuzzy functions. The...
In this paper, solution of fuzzy differential equation under general differentiability is obtained b...
Fuzzy programming approach has wide application in many fields such as project management, multi-att...
In this paper, a new Runge-Kutta method be presented which has the fifth order local truncation erro...
We study fuzzy differential equations (FDEs) using the strongly generalized differentiability concep...
In this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations Ãx̃...
AbstractWe present a representation of fuzzy numbers and its application to the numerical solution o...
A novel method for solving ordinary and partial differential equations, based on grammatical evoluti...
Improved predictor-corrector method for solving fuzzy differential equations under generalized diffe...
In this paper, an extended fourth-order Runge–Kutta method is studied to approximate the solutions o...
An attempt to solve fuzzy constraint satisfaction problems (FCSPs) with the use of genetic algorithm...
AbstractBased on the introduction of some new concepts of semifeasible direction, Feasible Degree (F...
AbstractIn this paper, we interpret a nonlinear fuzzy Fredholm integro-differential equations by usi...
We firstly present a generalized concept of higher-order differentiability for fuzzy functions. Then...
In this paper, the fully implicit 2-point block backward differentiation formula and diagonally impl...
We firstly present a generalized concept of higher-order differentiability for fuzzy functions. The...