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Dynamic Fuzzy Logic

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MICAI 2000: Advances in Artificial Intelligence (MICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1793))

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Abstract

Departing from the notion of a dynamical fuzzy set, we extend the concept of fuzzy logic, to introduce the dynamic fuzzy logic. The dynamic fuzzy logic is the base of the dynamic approximate reasoning, where the truth values and the inference rules are fuzzy, and change over time. The meaning of a dynamical fuzzy conditional proposition of the form IF A(t) THEN B(t), is clarified. We define also a dynamic linguistic variable as a variable whose truth value is represented as a word or sentence in a natural or artificial language whose meaning changes over time.

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References

  • Pérez-Silva, J.L., Miranda, A., Garces, A.: A Short Term Memory Phenomenon in a Single Neuron. In: Lasker, G.E. (ed.) Advances in Artificial Intelligence and Engineering Cybernetics, vol. lX, pp. 6–10 (1999); Published by International Institute for Advanced studies in Systems Research and Cybernetics

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  • Pérez-Silva, J.L., Lara-Rosano, F., Herrera, A., Bañuelos, M., Quintana, S., Castillo, J., Martínez, W., Padrón, A., Garces, A., Prieto, R.: Dynamic Approximate Reasoning. In: Lasker, G.E. (ed.) Advances in Artificial Intelligence and Engineering Cybernetics; Published by International Institute for Advanced studies in Systems Research and Cybernetics. (Accepted)

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  • Pérez-Silva, J.L., Lara-Rosano, F., Mirada, A., Herrera, A., Quintana, S., Bañuelos, M., Martínez, W., Castillo, J., Padrón, A., Garcés, A.: Dinamic Fuzzy Sets. In: Lasker, G.E. (ed.) Advances in Artificial Intelligence and Engineering Cybernetics, vol. lII, pp. 39–43 (1998); Published by International Institute for Advanced studies in Systems Research and Cybernetics

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Author information

Authors and Affiliations

  1. Laboratory of Applied Cybernetics, Centre for Instrumentation Research, National University of Mexico (UNAM), Apdo. 70-186, CP 04510, Coyoacan, D.F., Mexico

    José Luis Pérez-Silva & Felipe Lara-Rosano

Authors
  1. José Luis Pérez-Silva
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  2. Felipe Lara-Rosano
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Editor information

Editors and Affiliations

  1. Department of Computer Science Instituto Tecnológico Autónomo de México (ITAM), Río Hondo 1, 01080, México DF, México

    Osvaldo Cairó

  2. Monterrey Institute of Technology (ITESM), Campus Morelos, Av. Reforma 182-A, Lomas de Cuernvaca, Temixco, 62589, Morelos, Mexico

    L. Enrique Sucar

  3. ITESM Campus Monterrey, Research and Graduate Studies Office, Monterrey, N.L., México

    Francisco J. Cantu

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© 2000 Springer-Verlag Berlin Heidelberg

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Pérez-Silva, J.L., Lara-Rosano, F. (2000). Dynamic Fuzzy Logic. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_59

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  • DOI: https://doi.org/10.1007/10720076_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67354-5

  • Online ISBN: 978-3-540-45562-2

  • eBook Packages: Springer Book Archive

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