Add to ORKGA fuzzy approximation method called fuzzy transforms for approximation of continuous function is presented in this paper. It is shown how can be fuzzy transforms naturally generalized for functions with more variables. A fuzzy function as an approximated mapping is considered. This leads to an extension of fuzzy transforms for fuzzy function as well as to an extension of generalized fuzzy transforms for fuzzy functions with more variables. It is shown how the proposed method can be used as so called learning to obtain a fuzzy rule base for fuzzy control
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
Abstract. While many objects and processes in the real world are discrete, from the computational vi...
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...
2015 - 2016In the last decades, the theory of approximation has been enriched by a new class of appr...
While many objects and processes in the real world are discrete, from the computational viewpoint, d...
In many practical applications, it is useful to represent a function f(x) by its fuzzy transform, i....
The paper deals with the F-transform technique which was introduced as a method for an approximate r...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
A prototype fuzzy system is quite easy to set up and modify with the techniques within fuzzy system ...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
: In this paper the approximation of fuzzy functions by rule-based fuzzy systems is investigated. It...
Abstract. While many objects and processes in the real world are discrete, from the computational vi...
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...
2015 - 2016In the last decades, the theory of approximation has been enriched by a new class of appr...
While many objects and processes in the real world are discrete, from the computational viewpoint, d...
In many practical applications, it is useful to represent a function f(x) by its fuzzy transform, i....
The paper deals with the F-transform technique which was introduced as a method for an approximate r...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
A prototype fuzzy system is quite easy to set up and modify with the techniques within fuzzy system ...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...
In this paper we will prove that in most of the cases the extended inverse fuzzy transform preserves...