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COEFFICIENT OF CREDIBILITY IN ROUGH SET SYSTEM

机译:粗糙集系统中可信度系数

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The rough set theory can be applied to knowledge acquisition from imprecise data. The knowledge is represented in a form of decision rules. The data is organized in a decision table, where objects are represented by rows and attributes by columns. Some objects can be improper. A coefficient of credibility for objects is proposed and discussed. The coefficient is a measure of matching the given object to the information system. Objects with low values of coefficient of credibility may be considered as improper and can be detached (from the information system).
机译:粗糙集理论可以应用于来自不精确数据的知识获取。知识以决定规则的形式表示。数据在决策表中组织,其中对象由列和属性由列表示。有些物体可能是不正确的。提出并讨论了对象的可信度系数。系数是匹配给定对象到信息系统的量度。具有低值的物体可以被认为是不正确的并且可以分离(来自信息系统)。

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