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• W2011197364 abstract "Rough set theory and fuzzy set theory hold the topic of dealing with imperfect knowledge. Recent literature have shown both theories can be combined into a more expressive framework for modeling and processing incomplete information systems. According to the hierarchical characteristic of fuzzy sets, this paper presents the definitions of λ-weak fuzzy approximation space and IS <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>λ</sub> -fuzzy rough set based on a hybrid monotonic inclusion measure and a similarity measure. The properties of the IS <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>λ</sub> -fuzzy rough set are investigated. The approximate operators of a fuzzy decision concept and the relative decision rules will be derived from the fuzzy rough approximate operators." @default.
• W2011197364 created "2016-06-24" @default.
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• W2011197364 date "2010-07-01" @default.
• W2011197364 modified "2023-09-25" @default.
• W2011197364 title "Fuzzy rough sets based on hybrid monotonic inclusion measures and similarity measures" @default.
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• W2011197364 doi "https://doi.org/10.1109/nafips.2010.5548288" @default.
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