This paper describes the modelling of fuzzy rule systems using a multiresolution strategy that handles the problem of granularization of the input space by using multiresolution linguistic terms. Models of different resolutions are chained by antecedents because linguistic terms of a level j are obtained by refinements of linguistic terms of a superior level j + 1. The models can also be chained by consequents using aggregation procedures. The family of models are called Multiresolution Fuzzy Rule Systems. © 2006 Springer.
CITATION STYLE
Ñanculef, R., Concha, C., Moraga, C., & Allende, H. (2006). Multiresolution fuzzy rule systems. Advances in Soft Computing, 33, 65–79. https://doi.org/10.1007/3-540-31182-3_7
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