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中文摘要：
可变精度粗糙集模型是标准粗糙集模型的扩展，通过引入参数β，改善了粗糙集模型对噪声数据的适应能力。通过对VPRS理论的应用，分析了决策表中分类质量γ与参数β值之间的反向相关关系，基于两者之间关系的分析结果，给出了依据γ来确定β精确取值区间的算法。
英文摘要：
Variable precision rough set model is the extension of standard Rough Set model.Through introducing a parameter-β, the ability of adapting noisy data has been improved.This paper analyzes the relationship of classification quality-γ and parameter-β in decision tables,and constructs an algorithm to ascertain the β area based on given γ value.
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