کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
389149 661101 2015 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A comprehensive study of implicator–conjunctor-based and noise-tolerant fuzzy rough sets: Definitions, properties and robustness analysis
ترجمه فارسی عنوان
یک مطالعه جامع از مجموعه های خشن فازی مشتق شده مبتنی بر موانع و سر و صدا: تعاریف، خواص و تجزیه و تحلیل قوی
کلمات کلیدی
مجموعه های فازی مجموعه های خشن، هیبریداسیون، تقریب پایین و بالا، تحمل سر و صدا
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Both rough and fuzzy set theories offer interesting tools for dealing with imperfect data: while the former allows us to work with uncertain and incomplete information, the latter provides a formal setting for vague concepts. The two theories are highly compatible, and since the late 1980s many researchers have studied their hybridization. In this paper, we critically evaluate most relevant fuzzy rough set models proposed in the literature. To this end, we establish a formally correct and unified mathematical framework for them. Both implicator–conjunctor-based definitions and noise-tolerant models are studied. We evaluate these models on two different fronts: firstly, we discuss which properties of the original rough set model can be maintained and secondly, we examine how robust they are against both class and attribute noise. By highlighting the benefits and drawbacks of the different fuzzy rough set models, this study appears a necessary first step to propose and develop new models in future research.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 275, 15 September 2015, Pages 1–38
نویسندگان
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