Abstract
We discuss the means to efficiently propagate imprecise (but crisp) inputs in fuzzy control-like rule based systems in which fuzzy rules are chained in several levels. We consider a genuine implication-based model, in contrast to most of classical fuzzy control systems, using Rescher-Gaines implication to model the gradual relation between premises and conclusion of rules. The result of each inference is a crisp interval and we propose an efficient and sound method that provides with the tightest output intervals at one reasoning level, propagate them as input in the next level, and only pick a precise value at the very last level.
This is a revised and expanded version of the paper ‘“Dealing with imprecise inputs in Fuzzy rule-based systems” appearing in the Proc. of IPMU’2000, Madrid (Spain), pp. 1055-1062.
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© 2002 Springer-Verlag Berlin Heidelberg
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Godo, L., Sandri, S. (2002). Dealing with Imprecise Inputs in a Fuzzy Rule-Based System using an Implication-based Rule Model. In: Bouchon-Meunier, B., Gutiérrez-Ríos, J., Magdalena, L., Yager, R.R. (eds) Technologies for Constructing Intelligent Systems 1. Studies in Fuzziness and Soft Computing, vol 89. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1797-3_4
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DOI: https://doi.org/10.1007/978-3-7908-1797-3_4
Publisher Name: Physica, Heidelberg
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