کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
391184 | 661355 | 2006 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Specialization models for a general fuzzy set covering framework
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Set covering is a well-known rule induction paradigm for learning crisp classification rules. In this paper we present a generalization of the crisp set covering approach to fuzzy sets. We propose a general fuzzy set covering framework for finding good rules by a general-to-specific search as a further generalization of the set covering approach to learning. The paper illustrates four different specialization model algorithms as instantiations within this framework, and concludes with an empirical study to substantiate the usefulness of this new paradigm for the induction of fuzzy classification rules.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 157, Issue 21, 1 November 2006, Pages 2787-2808
Journal: Fuzzy Sets and Systems - Volume 157, Issue 21, 1 November 2006, Pages 2787-2808