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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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
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)
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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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
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