کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10323852 661375 2005 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Applying fuzzy measures and nonlinear integrals in data mining
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Applying fuzzy measures and nonlinear integrals in data mining
چکیده انگلیسی
The paper gives an overview of applying fuzzy measures and relevant nonlinear integrals in data mining, discussed in five application areas: set function identification, nonlinear multiregression, nonlinear classification, networks, and fuzzy data analysis. In these areas, fuzzy measures allow us to describe interactions among feature attributes towards a certain target (objective attribute), while nonlinear integrals serve as aggregation tools to combine information from feature attributes. Values of fuzzy measures in these applications are unknown and are optimally determined via a soft computing technique based on given data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 156, Issue 3, 16 December 2005, Pages 371-380
نویسندگان
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