【摘要】 为了有效地从凸序列中约简数据和发现知识 ,解决Rough集中的凸序列处理问题 ,在深入研究凸序列和Rough集理论的基础上 ,提出了凸Rough集模型 ,定义了凸Rough集和凸Rough模糊集 ,给出了凸Rough模糊集的隶属函数和应用凸Rough集进行数据约简及规则发现的算法 .最后分析了一个应用案例 ,验证了模型的可行性 ,表明应用凸Rough集模型可以更好地进行数据约减和规则发现更多还原

【Abstract】 In order to reduce data, discover knowledge from convex serial, and to process convex serial in rough set, convex serial and rough set theory were studied thoroughly and a convex rough set model is presented. Convex rough set and convex rough fuzzy set are defined and the membership function of the convex rough fuzzy set is given. The algorithms of data reduction and rules discovery using convex rough set are also introduced. Finally, an application case is analyzed. The results show that the presented model can be applied conveniently to data reduction and rules discovery with computing better decision.更多还原