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Method of determining case feature weight based on knowledge entropy theory

机译:基于知识熵理论的案例特征权重确定方法

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摘要

Determining case feature weight is an key problem in the similarity measure of case. The traditional method for determining case feature weight usually has disadvantages such as poor objectivity and high complexit. A new method based on knowledge entropy is introduced by researching conception of knowledge entropy and measurement way, analyzing the relationships between knowledge entropy and weight. The new method with a practical example can be proved to be good applicability and efficiency without any prior knowledge.
机译:确定案例特征权重是案例相似性度量中的关键问题。确定案件特征权重的传统方法通常具有诸如客观性差和复杂度高的缺点。通过研究知识熵的概念和度量方式,分析知识熵与权重的关系,提出了一种基于知识熵的新方法。在没有任何先验知识的情况下,可以通过实例证明该新方法的适用性和有效性。

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