MORENO VELO , Francisco José

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Este artículo presenta una técnica basada en la lógica difusa para extraer bases de reglas a partir de datos numéricos. Permite obtener bases de reglas interpretables lingüísticamente a la vez que simples en cuanto a número de reglas, sencillez en las partes antecedentes y consecuentes y facilidad de implementación hardware/software. Los pasos...

Tuning a fuzzy system to meet a given set of inpuffoutput patterns is usually a difficult task that involves many parameters. This paper presents an study of different approaches that can be applied to perform this tuning process automatically, and describes a CAD tool, named xfsl, which allows applying a wide set of these approaches: (a) a...

Fuzzy controllers are used in many applications because of their rapid design by translating heuristic knowledge, robustness against perturbations, and smoothness in the control action. However, they require parallel processing and special operators (such as fuzzification or defuzzification) which are not available in standard digital signal...

This 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...

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This paper presents the new version of Xfuzzy, Xfuzzy 3.0, which is a development environment for fuzzy-inference-based systems. It is composed by many tools that cover the different stages of the fuzzy system design process, from their initial description to the final implementation. Its main features are the capability for developing complex...

E l entorno Xfuzzy 3 está formado por un amplio conjunto de herramientas dedicadas a dar soporte a las diferentes etapas del desarrollo de sistemas difusos. Entre estas herramientas se encuentra Xfdm , dedicada a la extracción de conocimiento difuso a partir de conjuntos de datos. Este trabajo presenta las últimas...

Fuzzy-logic-based inference techniques provide efficient solutions for control problems in classical and emerging applications. However, the lack of specific design tools and systematic approaches for hardware implementation of complex fuzzy controllers limits the applicability of these techniques in modern microelectronics products. This paper...

This paper describes two computer-aided design (CAD) tools for automatic synthesis of fuzzy logic-based inference systems. The tools share a common architecture for efficient hardware implementation of fuzzy modules, but are based on two different design strategies. One of them is focused on the generation of standard VHDL code, which can be...

This work prcscnts thc main fcaturcs of XFL3, a languagc for fuzzy systcm spccification, which has bccn dcfincd as thc common dcscription languajc for thc tools forming thc Xfuzzy 3.0 dcvclopmcnt cnvironmcnt. Its main advantagcs arc its capability to admit uscr-dcfincd mcmbcrship functions, paramctric opcrators, and linguistic hcdgcs. A...

This paper presents the main features of XFL3, a new language for fuzzy system specification, which has been defined as the starting point for the 3.0 version of our fuzzy system design environment, Xfuzzy [1]. Its main advantages with respect to its precursor, XFL [2], are its capability to admit user-defined membership functions, parametric...

This contribution presents a new algorithm (NORFREA) to select fuzzy rules from a grid partition of the input domain. Besides using an efficiency measure for the rules, this algorithm employs an heuristic technique to reduce the influence of the initial grid structure. Different benchmarks of classification problems are included to illustrate...

This paper describes the design and implementation of a fuzzy controller for autonomous mobile robots. The tool Xfuzzy 3.0, developed at the IMSE (Instituto de Microelectrónica de Sevilla) has been used to design a controller for the Romeo 4R autonomous vehicle designed and built at the "Escuela Superior de Ingenieros", University of Seville....

Since 1992, Xfuzzy environment has been improving to ease the design of fuzzy systems. The current version, Xfuzzy 3, which is entirely programmed in Java, includes a wide set of new featured tools that allow automating the whole design process of a fuzzy logic based system: from its description (in the XFL3 language) to its synthesis in C, C++...

The characteristics of the new version of the fuzzy systems development environment Xfuzzy is presented. The environment covers the aspects related to the specification, verification, adjustment and implementation of fuzzy systems. It is an open environment (in the sense that the user can define many functional and structural aspects) and a...