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Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited

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Abstract

This paper reviews one particular area of Artificial Intelligence, which roots may be traced back to Multiple-valued Logic: the area of fuzzy control. After an introduction based on an experimental scenario, basic cases of fuzzy control are presented and formally analyzed. Their capabilities are discussed and their constraints are explained. Finally it is shown that a parameterization of either the fuzzy sets or the connectives used to express the rules governing a fuzzy controller allows the use of new optimization methods to improve the overall performance.

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Authors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Campus de Montegancedo, 28660, Madrid, Spain

    Claudio Moraga, Enric Trillas & Sergio Guadarrama

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  1. Claudio Moraga
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  2. Enric Trillas
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  3. Sergio Guadarrama
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Moraga, C., Trillas, E. & Guadarrama, S. Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited. Artificial Intelligence Review 20, 169–197 (2003). https://doi.org/10.1023/B:AIRE.0000006610.94970.1d

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  • DOI: https://doi.org/10.1023/B:AIRE.0000006610.94970.1d

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