A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning
نویسندگان
چکیده
منابع مشابه
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
The inductive learning of a fuzzy rule-based classi®cation system (FRBCS) is made dicult by the presence of a large number of features that increases the dimensionality of the problem being solved. The diculty comes from the exponential growth of the fuzzy rule search space with the increase in the number of features considered in the learning process. In this work, we present a genetic featu...
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Article history: Received 7 October 2008 Received in revised form 25 November 2009 Accepted 22 December 2009
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ژورنال
عنوان ژورنال: IEEE Transactions on Fuzzy Systems
سال: 2011
ISSN: 1063-6706
DOI: 10.1109/tfuzz.2011.2147794