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Fuzzy XCS: An Accuracy-Based Fuzzy Classifier System ∗
by Jorge Casillas
…The issue of rule generalization has received a great deal of attention in the discrete-valued learning classifier system field. Within it, the accuracy-based XCS system is currently the main reference. The same issue does not appear to have received a similar level of attention in the case of the f…
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Learning Fuzzy Rules Using Ant Colony Optimization Algorithms
by Jorge Casillas, Oscar Cordón, Francisco Herrera — 2000 — Abstract proceedings of ANTS2000 { From Ant Colonies to Arti Ants: A Series of International Workshops on Ant Algorithms
…Within the Linguistic Modeling field, one of the most important applications of Fuzzy Rule-Based Systems, the automatic learning from numerical data of the fuzzy linguistic rules composing these systems is an important task. In this paper we introduce a novel way of addressing the problem making use…
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Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology
by Jorge Casillas, Osacar Cordon, Francisco Herrera — 2002 — Technologies for Constructing Intelligent Systems 1. Tasks
…Nowadays, Linguistic Modeling is considered to be one of the most important areas of application for Fuzzy Logic. It is accomplished by linguistic Fuzzy Rule-Based Systems, whose most interesting feature is the interpolative reasoning developed. This characteristic plays a key role in their high per…
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Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview
by Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena — 2003 — in Interpretability Issues in Fuzzy Modeling
…Abstract. System modeling with fuzzy rule-based systems (FRBSs), i.e. fuzzy modeling (FM), usually comes with two contradictory requirements in the obtained model: the interpretability, capability to express the behavior of the real system in an understandable way, and the accuracy, capability to fa…
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A Cooperative Coevolutionary Algorithm for Jointly Learning Fuzzy Rule Bases and Membership Functions*
by Jorge Casillas, Oscar Cord, Francisco Herrera
…When a whole knowledge base must be derived for a fuzzy rule-based system, learning methods usually address this task with two or more sequential stages by separately designing each of its components (mainly the rule base and the data base). Instead, we propose a simultaneous derivation process to p…
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Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process for High Dimensional Problems
by J. Casillas, O. Cordón, M. J. Del Jesus, F. Herrera, Jorge Casillas, Francisco Herrera — 2000
…The inductive learning of a Fuzzy Rule-Based Classification System (FRBCS) is made difficult by the presence of a high feature number that increases the dimensionality of the problem being solved. The difficulty comes from the exponential growth of the fuzzy rule search space with the increase in th…
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EUSFLAT- LFA 2005 Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models ∗
by Jorge Casillas, Oscar Delgado, Francisco J. Martínez-lópez
…The paper introduces a novel problem based on causal modeling in marketing where knowledge discovery is able to provide useful results (as shown in a real-world application). The problem features (with uncertain data and available expert knowledge) and the proposed multiobjective optimization approa…
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Can Linguistic Modeling Be As Accurate As Fuzzy Modeling Without Losing Its Description To A High Degree?
by To A High Degree, Oscar Cord, To A High Degree, Jorge Casillas, Jorge Casillas, Francisco Herrera, Francisco Herrera — 2000
…In system modeling with Fuzzy Rule-Based Systems (FRBSs), we may usually nd two contradictory requirements, the interpretability and the accuracy of the model obtained. As known, Linguistic Modeling (LM)|where the main requirement is the interpretability|is developed by linguistic FRBSs, while Fu…
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Genetic Tuning of Fuzzy Rule Deep Structures for Linguistic Modeling
by Jorge Casillas, Oscar Cordon, Jorge Casillas, Mara J. Del Jesus, Mara J. Del Jesus, Francisco Herrera, Francisco Herrera — 2001 — IEEE Trans. on Fuzzy Systems
…Tuning fuzzy rule-based systems for Linguistic Modeling is an interesting and widely developed task. It involves adjusting some of the components composing the knowledge base without completely redening it. To do that, as the fuzzy rule symbolic representations (known as fuzzy rule surface structure…
Cited by 4 (2 self) – Add To MetaCart

Multicriteria Genetic Tuning for the Optimization and Control of HVAC Systems
by Rafael Alcala, Jose Manuel Benitez, Jorge Casillas, Juan Luis Castro, Oscar Cordon, Antonio Gonzalez, Francisco Herrera, Raul Perez
…This work presents the use of genetic algorithms for the optimization and control of Heating, Ventilating and Air Conditioning (HVAC) systems developing smartly tuned fuzzy logic controllers for energy efficiency and overall performance of these systems. An optimum operation of the HVAC systems is a…
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