TCBR中案例相关度及案例冗余处理模型

The Similarity Measure and Redundancy Solution of Case in Textual CBR

首先介绍基于文档的案例推理技术TCBR,以及CRN、IEs等基本理论,然后详细介绍CRN的构建过程和相关的函数模型,并提出一个求和函数来计算案例与当前问题的相关值,在文章的后面阐述了TCBR的案例学习方法以及案例相似程度的一个判断函数,并提出在这种情况下对案例冗余的处理方案。

At first,we describe the Principle of Textual Case-based Reasoning, Case Retrieval Nets,Information Entities. Then we put forward to a new sum function to compute the similarity between cases and the problem. At the end of the Article, we present a case-learning measure and a judge function of the similarity measure in TCBR, and we put forward to a method for redundancy solution of case In this case.