Attribute Reduction in Variable Precision Rough Set Model
Attribute Reduction in Variable Precision Rough Set Model
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DOI：
10.1142/s0218488506004126
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发表时间：
2006-08
期刊：
影响因子：
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通讯作者：
M. Inuiguchi
中科院分区：
文献类型：
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作者：
M. Inuiguchi
讨论了变精度粗糙集模型中的属性约简问题。讨论了几种保持下近似、上近似、边界区域和不可预测区域的约简。研究了这几类约简之间的关系。作为约简计算的基础，讨论了保下近似、保上近似、保边界区域和保不可预测区域的布尔函数表示。在本文中，变精度粗糙集的分析与经典的粗糙集分析之间的巨大差异被强调。
In this paper, attribute reduction in variable precision rough set model is discussed. Several kinds of reducts preserving some of lower approximations, upper approximations, boundary regions and the unpredictable region are discussed. Relations among those kinds of reducts are investigated. As a basis for reduct computation, Boolean function representations of the preservation of lower approximations, upper approximations, boundary regions and the unpredictable region are discussed. Throughout this paper, the great difference between the analysis using variable precision rough sets and the classical rough set analysis is emphasized.