Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada

机译：系统设计工程系，滑铁卢大学，Waterloo，安大略省，N2L 3G1，加拿大

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We propose a method of decision rule generation in object–oriented rough set models proposed by Kudo and Murai. The object–oriented rough set model is an extension of the “traditional” rough set theory by introducing object–oriented paradigm used in computer science. The object–oriented rough set model treats objects as instances of some classes, and illustrate structural hierarchies among objects based on is-a relationship and has-a relationship. In this paper, we introduce decision rules in the object–oriented rough set model, and revise discernibility matrices proposed by Skowron and Rauser to generate decision rules in the object–oriented rough set model.

机译：我们提出了一种在Kudo和Murai提出的面向对象粗糙集模型中的决策规则生成的方法。面向对象的粗糙集模型是通过在计算机科学中使用的面向对象的范式引入“传统”粗糙集理论的扩展。面向对象的粗糙集模型将对象视为某些类的实例，并在基于IS-A关系和具有关系的对象之间说明结构层次结构。在本文中，我们在面向对象的粗糙集模型中引入决策规则，并修改Skowron和Rauser提出的可辨识矩阵，以在面向对象粗糙集模型中生成决策规则。

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《International Conference on Rough Sets and Current Trends in Computing》|2006年||共10页
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Yasuo Kudo; Tetsuya Murai;
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Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada

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