In this paper, a new scheme is proposed to find the fuzzy interpolation polynomial. In this case, the nodes are crisp data and the values are fuzzy numbers. In order to obtain the interpolation polynomial, a linear system is solved with crisp coefficients matrix and fuzzy right hand side. Then, the inherited lower-upper (LU) triangular factorization and inherited interpolation are applied to solve this system. The examples illustrate the applicability, simplicity and efficiency of the proposed method
A numerical method along with explicit construction to interpolation of fuzzy data through the exten...
In this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations Ãx̃...
This paper deals with the polynomial interpolation of degree at most n passing through n 1 distinct ...
AbstractIn this paper, a new scheme is proposed to find the fuzzy interpolation polynomial. In this ...
The polynomial interpolation in one dimensional space R is an important method to approximate the fu...
Edited by Ulrich Bodenhofer, Bernard de Baets, Erich Peter Klement, Susanne Saminger-PlatzInternatio...
We propose a general framework for the interpolation problem. Our framework stems from the classical...
Fuzzy rule interpolation is one of the tools for reducing computational complexity of fuzzy systems,...
Abstract—Most applications of fuzzy techniques use piece-wise linear (triangular or trapezoid) membe...
Abstract—Most applications of fuzzy techniques use piece-wise linear (triangular or trapezoid) membe...
Most applications of fuzzy techniques use piece-wise linear (triangular or trapezoid) membership fun...
The aim of this paper is to study the fuzzy logistic equation. In this paper, the problem of best ap...
: An interpolation approach to reduction into triangular form of an arbitrary polynomial matrix is p...
AbstractWe consider multivariate interpolation at arbitrary points and provide effective interpolati...
This paper addresses the problem of approximating a dependency relationship among fuzzy numbers that...
A numerical method along with explicit construction to interpolation of fuzzy data through the exten...
In this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations Ãx̃...
This paper deals with the polynomial interpolation of degree at most n passing through n 1 distinct ...
AbstractIn this paper, a new scheme is proposed to find the fuzzy interpolation polynomial. In this ...
The polynomial interpolation in one dimensional space R is an important method to approximate the fu...
Edited by Ulrich Bodenhofer, Bernard de Baets, Erich Peter Klement, Susanne Saminger-PlatzInternatio...
We propose a general framework for the interpolation problem. Our framework stems from the classical...
Fuzzy rule interpolation is one of the tools for reducing computational complexity of fuzzy systems,...
Abstract—Most applications of fuzzy techniques use piece-wise linear (triangular or trapezoid) membe...
Abstract—Most applications of fuzzy techniques use piece-wise linear (triangular or trapezoid) membe...
Most applications of fuzzy techniques use piece-wise linear (triangular or trapezoid) membership fun...
The aim of this paper is to study the fuzzy logistic equation. In this paper, the problem of best ap...
: An interpolation approach to reduction into triangular form of an arbitrary polynomial matrix is p...
AbstractWe consider multivariate interpolation at arbitrary points and provide effective interpolati...
This paper addresses the problem of approximating a dependency relationship among fuzzy numbers that...
A numerical method along with explicit construction to interpolation of fuzzy data through the exten...
In this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations Ãx̃...
This paper deals with the polynomial interpolation of degree at most n passing through n 1 distinct ...