کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10150972 | 1666103 | 2019 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
L-Concept lattices with positive and negative attributes: Modeling uncertainty and reduction of size
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
In our previous works, we introduced an extension of formal fuzzy concept analysis where attributes were considered as a positive and negative information based on user input. In the present paper, we show that the extension is naturally capable to model uncertainty and we describe a general method to increase that uncertainty in a parametric way. Furthermore, we demonstrate that two methods of concept lattice size reduction, which were thoroughly studied in formal fuzzy concept analysis, become instances of the general method when adapted to our extension.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 472, January 2019, Pages 163-179
Journal: Information Sciences - Volume 472, January 2019, Pages 163-179
نویسندگان
Eduard Bartl, Jan Konecny,