An Approach to Generating Rules Based on Rough and Fuzzy Sets Theories
- 航空航天－已发表论文 
粗糙集理论和模糊集理论都是用来处理不完整和不确定信息的理论 ,两者都可用来观察、测试数据并进行推理 .虽然它们之间有一些重叠 ,但两者的着眼点和计算方法是不一样的 ,因此它们不能被相互替代 ,而必须结合起来使用 .本文结合粗糙集理论和模糊集理论提出了一种新的规则提取方法 ,并给出了一个应用实例Both rough and fuzzy sets theories can be used to deal with imprecise and incomplete information. For example, both of them are often used to observe, test and reason about data. Although they have some overlaps in doing so, they are different in some respects and calculations. Therefore, they can't be substituted each other. In this paper, we propose an approach to generating rules by combining the two theories together and give an illustrative example.