Construct · 2 fields · 2 citations
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In computer science and mathematics, a rough set is a way of approximating a set whose membership is uncertain because objects can be told apart only up to some indiscernibility relation: it is represented by a lower approximation (objects surely in the set) and an upper approximation (objects possibly in it), the gap between them being the boundary region. Pawlak's 1982 Rough sets introduced the theory, now used in data analysis, feature selection, and reasoning about incomplete information. The referent is a pair of approximations bounding an imprecise concept, with no connection to uncut grass or a machined finish beyond the word.[1]
In surface metrology, roughness is the fine-scale irregularity of a surface (the closely spaced peaks and valleys left by machining or finishing), separated from the larger-scale waviness and overall form of the part. Whitehouse's Handbook of Surface and Nanometrology sets out how these deviations are filtered and quantified by parameters such as the arithmetic mean deviation Ra. The referent is the micro-texture of a solid surface, measured in micrometres, and it shares only the word with a golf-course zone or a rough set.[2]
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