A Method of Flexible Confidence Rules Extraction Based on Niching Immune Algorithm
基于小生境免疫算法的柔性可信度规则提取方法

In this paper, a method of extracting rules from information system used niche immunity algorithm based on sharing mechanism is proposed. The principle of sharing and competing resource in the sharing mechanism is consistent with the relation of complementing and contending among rules. Ordinary methods of confidence measure have some shortcomings. New conception of flexible confidence is introduced in this article. The experiment proved, the new method obtains the good result not only in processing the data without conflict or noise, but also in processing the noise data and the data with the imbalance of the class distribution.