Using Rough Sets Theory and Minimum Description Length Principle to Improve a beta-TSK Fuzzy Revision Method for CBR Systems.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/sbia/RiverolaDC04
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2004
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Using Rough Sets Theory and Minimum Description Length Principle to Improve a beta-TSK Fuzzy Revision Method for CBR Systems.
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CBR, TSK fuzzy models, rough sets, minimum description length, automated revision stage.
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Using Rough Sets Theory and Minimum Description Length Principle to Improve a beta-TSK Fuzzy Revision Method for CBR Systems.
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