RULE INDUCTION BASED ON FUZZY ROUGH SETS

摘要：

In this paper, we propose one method of rule induction based on fuzzy rough set.First, the consistence degree is proposed as the basic concept to induce rules based on fuzzy rough sets.The concepts of rule induction, such as value reduct, reduct rule and so on, are then proposed based on the definition of consistence degree.Second, a discernibility array is constructed, and then an algorithm to find the reduct rule using the discernibility array is designed.Finally, the numerical experimental results demonstrate that the method of rule induction proposed in this paper is feasible.The key idea of this paper is that the value reduct (i.e.reduct rule) keeps the consistence degree invariant.The main contribution of this paper is introduction of rule induction based on fuzzy rough sets using the concept of fuzzy lower and upper approximation.

关键词： Fuzzy rough set Rule induction Triangular norm Discernibility array

作者: ERIC C.C.TSANG SU-YUN ZHAO JOHN W.T.LEE

作者单位: Department of computing, The Hong Kong Polytechnic University, Hung Horn, Kowloon, Hong Kong Department of computing, The Hong Kong Polytechnic University, Hung Horn, Kowloon, Hong Kong;Machine

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3028-3033

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）