کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
496465 | 862860 | 2007 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Decision trees are one among interesting and commonly encountered architectures used for learning, reasoning and organization of datasets. This study being positioned in the realm of decision trees is aimed at two main objectives. First, we propose a new algorithmic framework for building fuzzy sets (membership functions) and their logic operators based upon theoretical findings of the Axiomatic Fuzzy Set (logic) theory (AFS). Second, we cast the design processes of fuzzy decision trees in this framework. A number of illustrative examples are included. We demonstrate how the AFS setting results in the improvement of the performance of the resulting trees. The findings are contrasted with the outcomes produced by the decision trees studied by Janikow; in particular, we show the performance of different trees in the case of large number of fuzzy attributes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 7, Issue 1, January 2007, Pages 325-342
Journal: Applied Soft Computing - Volume 7, Issue 1, January 2007, Pages 325-342
نویسندگان
Xiaodong Liu, Witold Pedrycz,