A method to use uncertain domain knowledge in the induction of classification knowledge based on ID3

摘要

We propose a method to use uncertain and qualitative domain knowledge in inducing a classification tree based on ID3.We introduce a consistency degree between data and domain knowledge such as "The reduction rate in the latter stage is larger,the quality of a product is usually the better." As criteria for inducing a decision tree,we use the consistency degree together with the traditional criterion based on the information-theoretic measure.In this work,the consistency degree is mainly used for pruning the hypotheses whose consistency degree with domain knowledge is below a pre-specified threshold.We demonstrate the effectiveness of our method using hte data in a superconducting wire manufacturing domain.