کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
392470 664772 2016 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Boundary region-based rough sets and uncertainty measures in the approximation space
ترجمه فارسی عنوان
مجموعه های سخت بر اساس منطقه مرزی و اقدامات عدم اطمینان در فضای تقریبی
کلمات کلیدی
منطقه مرزی؛ اصل موضوعی. اندازه گیری عدم اطمینان؛ مجموعه های سخت
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

The approximation operators play an important role in rough set theory, which are mainly defined by means of neighborhood systems. In this paper, firstly, we try to propose a class of novel definitions of the approximation operators via a predefined boundary region based on a binary relation. Then we compare the proposed concepts with the originals, the necessary and sufficient conditions of their equipollence are investigated. Secondly, we give the definitions of boundary region based on a covering. By employing the boundary, a class of novel definitions of the approximation operators based on a covering are proposed. It is shown that the proposed operators are equivalent to a class of covering approximation operators introduced by Zakowski. Thirdly, the relationship between general binary relations and coverings based approximation operators is investigated with the aid of the novel boundary region. Finally, the more reasonable characterizations of the accuracy and the roughness are proposed by employing the boundary operators. Meanwhile, we study uncertainty measures of approximation spaces based on a partition and a covering.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volumes 370–371, 20 November 2016, Pages 239–255
نویسندگان
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