面向对象粗糙集模型结构特征提取方法研究

Y. Kudo, T. Murai, S. Miyamoto
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引用次数: 0

摘要

在作者提出的面向对象粗糙集模型中,我们提出了类间结构特征的显式和隐式影响的概念来处理如何组合对象的特征。面向对象的粗糙集模型利用对象之间的结构层次来处理粗糙集框架中的半结构化数据,半结构化决策规则表示对象之间的结构特征,使我们能够捕捉到对象的组合方式。然而,通常很难通过半结构化的决策规则来捕获关于如何组合对象的特征。因此,本文考虑了面向对象粗糙集模型中对象组合的结构特征估计问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On an extraction method of structural characteristics in object-oriented rough set models
We propose a concept of explicit and implicit influences of structural characteristics among classes to treat characteristics about how to combine objects in the object-oriented rough set model proposed by the authors. The object-oriented rough set model treats semi-structured data in the framework of rough sets by using structural hierarchies among objects, and semi-structured decision rules represent structural characteristics among objects, which enable us to capture what to combine objects. However, it is generally difficult to capture characteristics about how to combine objects by semi-structured decision rules. Thus, in this paper, we consider estimating structural characteristics about how to combine objects in the object-oriented rough set model.
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