Axiomática de álgebra de Boole.
Refinement of a fuzzy control rule set.
Fuzzy logic controller performance depends on the fuzzy control rule set. This set can be obtained either by an expert or from a learning algorithm through a set of examples. Recently, we have developed SLAVE an inductive learning algorithm capable of identifying fuzzy systems. The refinement of the rules proposed by SLAVE (or by an expert) can be very important in order to improve the accuracy of the model and in order to simplify the description of the system. The refinement algorithm is based...
Multi-stage genetic fuzzy systems based on the iterative rule learning approach.
Genetic algorithms (GAs) represent a class of adaptive search techniques inspired by natural evolution mechanisms. The search properties of GAs make them suitable to be used in machine learning processes and for developing fuzzy systems, the so-called genetic fuzzy systems (GFSs). In this contribution, we discuss genetics-based machine learning processes presenting the iterative rule learning approach, and a special kind of GFS, a multi-stage GFS based on the iterative rule learning approach, by...
Una definición de robustez cualitativa en inferencia bayesiana.
Proponemos una definición de "estabilidad" para un modelo bayesiano, respecto a cambios en la distribución básica (la distribución a priori se mantiene fija). Esta definición se discute e interpreta mediante el concepto de continuidad. Se obtienen también condiciones suficientes para la estabilidad así definida y se proponen algunos ejemplos. Finalmente se sugiere una generalización, con la distribución a priori también variable, y se obtiene un teorema para esta nueva situación....
Fuzzy certainty on fuzzy values
A multi-agent system based on fuzzy logic applied to RoboCup's environment.
Artificial Intelligent has been applied successfully to many and varied domains. In particular, the recent steps forward which are been producing in the development of dynamic, collaborative, real time and adversarial multi-agent environments are very interesting. In this work, we carry out a proposal, which uses a soccer robot simulator, called TeamBots, that simulates the RoboCup Small'', involved into the RoboCup World Championship''. The objective is to bring a team into operation, even though,...
Distributed Parameter Tuning for Genetic Algorithms
A multicriteria genetic tuning for fuzzy logic controllers.
This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers in multicriteria complex problems. This tuning approach has some specific restrictions that make it very particular and complex because of the large time requirements existing due to the need of considering multiple criteria -which enlarges the solution search space-, and to the long computation time models usually used for fitness assessment. To solve these restrictions, two efficient genetic tuning...
Relación entre los cuantiles y cuasicuantiles de un batch unidimensional.
Dentro del contexto del Análisis Exploratorio de Datos tal como ha sido definido por Tukey (1977), se aborda el estudio de la síntesis numérica de un "batch" unidimensional. Más concretamente, se analizan las propiedades que relacionan los cuantiles muestrales con otro conjunto de valores muy cercanos a éstos y que denominaremos cuasicuantiles. Estos presentan las propiedades de poderse calcular de forma más simple que aquéllos y de concentrarse más en las colas que en el centro de la distribución....
A niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction.
A new method for applying grammar based Genetic Programming to learn fuzzy rule based classifiers from examples is proposed. It will produce linguistically understandable, rule based definitions in which not all features are sent in the antecedents. A feature selection is implicit in the algorithm. Since both surface and deep structure will be learned, standard grammar based GP is not applicable to this problem. We have adapted GA-P algorithms, a method formerly defined as an hybrid between GA and...
Diseño de redes intercambiadoras de calor con utilidades múltiples por programación lineal.
Se analiza la aplicación de un algoritmo de Programación de Redes, el método , al análisis y diseño de redes de intercambiadores de calor con utilidades externas múltiples. Tradicionalmente, los métodos heurísticos y termodinámicos han sido los más utilizados. Sin embargo, estos métodos presentan dificultades de aplicación en aquellos problemas, como el planteado en este trabajo, en los que se incorpora más de una utilidad externa de calentamiento. Por el contrario, el método lo resuelve de forma...
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