用于复杂系统环境的遗传分类器系统

Genetic Classifier System for Complex System Environment

设计了一个针对复杂系统分析的遗传分类器系统，该系统不仅利用了遗传算法强大的搜索能力和便于从大量历史数据中发现规律的优点进行分类器获取，而且还具有如下两个主要特点；①它能够适用于复杂的、缺少完整描述且训练信号带有噪声的系统环境；②它是一个白箱系统，所获取分类器的置信度与统计结果相符，从而支持定性、定量相结合的综合推理模式。

In this paper, a genetic classifier system for complex system analysis is proposed. The system not only makes use of the remarkable genetic algorithms searching ability and the ability to find laws from a great amount of historical data to acquire classifiers, but also posseses the following two charateristics: ①It is suitable for such complex systems which have noise and lack complete description ②The credit of each classifcer acquired by this system is identical to statistical results, so it can support metasynthesis reasoning method.