Multiresolution fuzzy rule systems. Concha, C., Moraga, C. R., Ñanculef, R., & Allende, H. In Advances in Soft Computing, volume 33, pages 65-79, 2006.
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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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