Machine learningRough sets
可变精度粗糙集模型 (VPRS)
可变精度粗糙集 (VPRS) 是 Wojciech Ziarko 于 1993 年提出的经典粗糙集理论的扩展，旨在处理不可避免地包含噪声和错分的现实世界数据。通过引入控制等价类与目标概念之间可容忍重叠程度的精度参数 u，VPRS 放宽了标准粗糙集严格的子集要求，从而能够从噪声或不一致的数据集中归纳出近似分类规则。
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来源
- Ziarko, W. (1993). Variable precision rough set model. Journal of Computer and System Sciences, 46(1), 39–59. DOI: 10.1016/0022-0000(93)90048-2 ↗
如何引用本页
ScholarGate. (2026, June 2). Variable Precision Rough Set Model (VPRS). ScholarGate. https://scholargate.app/zh/soft-computing/variable-precision-rough-set
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