Add to ORKGThis paper presents Xfsl, a tool for the automatic tuning of fuzzy systems using supervised learning algorithms. The tool provides a wide set of learning algorithms, which can be used to tune complex systems. An important issue is that Xfsl is integrated into the fuzzy system development environment Xfuzzy 3.0, and hence, it can be easily employed within the design flow of a fuzzy system.Comisión Interministerial de Ciencia y Tecnología TIC98-0869Fondo Europeo de Desarrollo Regional 1FD97-0956-C3-0
This paper describes two computer-aided design (CAD) tools for automatic synthesis of fuzzy logic-ba...
Several applications of artificial intelligence in the area of control of dynamic systems have prove...
This paper describes the development of different kinds of level controllers based on fuzzy logic. ...
Tuning a fuzzy system to meet a given set of requirements is usually a difficult task that involves ...
Tuning a fuzzy system to meet a given set of inpuffoutput patterns is usually a difficult task that...
Since 1992, Xfuzzy environment has been improving to ease the design of fuzzy systems. The current v...
This paper presents the new version of Xfuzzy, Xfuzzy 3.0, which is a development environment for fu...
The tuning of hierarchical fuzzy systems are not supported by the majority of CAD tools available a...
This paper presents the main features of XFL3, a new language for fuzzy system specification, which ...
peer-reviewedThis paper proposes a user-friendly methodology to fine-tune a fuzzy controller that w...
The characteristics of the new version of the fuzzy systems development environment Xfuzzy is presen...
This paper describes a study of tuning process for fuzzy logic controller (FLC) design. In fuzzy log...
AbstractThe performance of a fuzzy logic controller depends on its control rules and membership func...
The fuzzy classifier system (FCS) combines the ideas of fuzzy logic controllers (FLC's) and learning...
© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish th...
This paper describes two computer-aided design (CAD) tools for automatic synthesis of fuzzy logic-ba...
Several applications of artificial intelligence in the area of control of dynamic systems have prove...
This paper describes the development of different kinds of level controllers based on fuzzy logic. ...
Tuning a fuzzy system to meet a given set of requirements is usually a difficult task that involves ...
Tuning a fuzzy system to meet a given set of inpuffoutput patterns is usually a difficult task that...
Since 1992, Xfuzzy environment has been improving to ease the design of fuzzy systems. The current v...
This paper presents the new version of Xfuzzy, Xfuzzy 3.0, which is a development environment for fu...
The tuning of hierarchical fuzzy systems are not supported by the majority of CAD tools available a...
This paper presents the main features of XFL3, a new language for fuzzy system specification, which ...
peer-reviewedThis paper proposes a user-friendly methodology to fine-tune a fuzzy controller that w...
The characteristics of the new version of the fuzzy systems development environment Xfuzzy is presen...
This paper describes a study of tuning process for fuzzy logic controller (FLC) design. In fuzzy log...
AbstractThe performance of a fuzzy logic controller depends on its control rules and membership func...
The fuzzy classifier system (FCS) combines the ideas of fuzzy logic controllers (FLC's) and learning...
© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish th...
This paper describes two computer-aided design (CAD) tools for automatic synthesis of fuzzy logic-ba...
Several applications of artificial intelligence in the area of control of dynamic systems have prove...
This paper describes the development of different kinds of level controllers based on fuzzy logic. ...