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Towards Efficient Computing Consistent and Partially Consistent Extensions of Information Systems

机译:致力于信息系统的高效计算一致性和部分一致性扩展

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摘要

This paper provides new algorithms for computing consistent and partially consistent extensions of information systems. A maximal consistent extension of a given information system includes only objects corresponding to known attribute values which are consistent with all rules extracted from the original information system. A partially consistent extension of a given information system includes objects corresponding to known attribute values which are consistent to a certain degree with the knowledge represented by rules extracted from the original information system. This degree can be between 0 and 1, 0 for the full inconsistency and 1 for the full consistency. The algorithms presented here do not involve computing any rules true in a given information system. This property differentiates them from methods presented in the earlier papers which concerned extensions of information systems.
机译:本文提供了用于计算信息系统的一致性和部分一致性扩展的新算法。给定信息系统的最大一致扩展名仅包括与已知属性值相对应的对象,这些已知属性值与从原始信息系统提取的所有规则一致。给定信息系统的部分一致扩展包括与已知属性值相对应的对象,这些属性在一定程度上与从原始信息系统中提取的规则所表示的知识相一致。此程度可以在0到1之间,对于完全不一致,0,对于完全一致性,1。这里介绍的算法不涉及计算给定信息系统中真实的任何规则。这种特性使它们与早期论文中介绍的有关信息系统扩展的方法有所区别。

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