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Attribute Reduction Algorithm for Information System without Decision Attributes

机译:无决策属性的信息系统的属性缩减算法

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摘要

The classical attribute reduction algorithm and its extended algorithms base on information system with decision attributes and can not be applied to attribute reduction for information system without decision attributes. So, based on rough set theory, this paper studied attribute reduction for information system without decision attributes in domain division of set theory and presented a heuristic attribute reduction algorithm. To a certain extent, the algorithm can resolve the attribute reduction problem for information system without decision attributes and extend application of Rough Set Theory. The analysis of the realistic example shows that the algorithm is effective and feasible.
机译:具有决策属性的信息系统上的经典属性缩减算法及其扩展算法基础,并且不能应用于无决策属性的信息系统的属性减少。因此,基于粗糙集理论,本文研究了信息系统的属性减少,而无需决策属性在集合理论中呈现出启发式属性减少算法。在一定程度上,该算法可以解决信息系统的属性还原问题,而无需决策属性并扩展粗糙集理论的应用。对实际示例的分析表明该算法是有效可行的。

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