کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
402455 676948 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A variable precision rough set model based on the granularity of tolerance relation
ترجمه فارسی عنوان
یک مدل مرتبه دقیق دقت متغیر بر اساس جزئیات دانه تحمل رابطه
کلمات کلیدی
مجموعه خشن، مفهوم شبکه، رابطه تساهل، کلاس تحمل
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

As one of core problems in rough set theory, normally, classification analysis requires that “all” rather than “most”elements in one class are similar to each other. Nevertheless, the situation is just opposite to that in many actual applications. This means users actually just require “most” rather than “all”elements in a class are similar to each other. In the case, to further enhance the robustness and generalization ability of rough set based on tolerance relation, this paper, with concept lattice as theoretical foundation, presents a variable precision rough set model based on the granularity of tolerance relation, in which users can flexibly adjust parameters so as to meet the actual needs. The so-called relation granularity means that the tolerance relation can be decomposed into several strongly connected sub-relations and several weakly connected sub-relations. In essence, classes defined by people usually correspond to strongly connected sub-relations, but classes defined in the paper always correspond to weakly connected sub-relations. In the paper, an algebraic structure can be inferred from an information system, which can organize all hidden covers or partitions in the form of lattice structure. In addition, solutions to the problems are studied, such as reduction, core and dependency. In short, the paper offers a new idea for the expansion of classical rough set models from the perspective of concept lattice.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 102, 15 June 2016, Pages 103–115
نویسندگان
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