In *Advances in Soft Computing*, volume 33, pages 65-79, 2006.

doi abstract bibtex

doi abstract bibtex

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.

@inproceedings{10.1007/3-540-31182-3_7, abstract = "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.", year = "2006", title = "Multiresolution fuzzy rule systems", volume = "33", pages = "65-79", doi = "10.1007/3-540-31182-3\_7", booktitle = "Advances in Soft Computing", author = "Concha, Carlos and Moraga, Claudio R. and Ñanculef, Ricardo and Allende, Héctor" }

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