计算机应用研究2012，Vol.29Issue(11)：4242-4245,4.DOI:10.3969/j.issn.1001-3695.2012.11.061
区间值信息系统中基于邻域系统的粗糙集模型
Neighborhood systems based rough sets in interval-valued information system
摘要
Abstract
Pawlak' s rough set theory offers a formal theoretical framework to deal with categorical data, but this model is not applicable to interval data which widely exist in real world applications. By using grey lattice operation and Hausdorff distance , this paper provided a new neighborhood relationship in an interval-valued information system. Furthermore, it proposed three forms of rough set models based on neighborhood relationship, maximal consistent blocks and neighborhood system, which was to improve the accuracy of approximations. Moreover, it employed three numerical examples to substantiate the conceptual arguments.关键词
粗糙集/区间值/邻域系统/覆盖/最大相容类/Hausdorff距离Key words
rough set/ interval data/ neighborhood system/ covering/ maximal consistent block/ Hausdorff distance分类
信息技术与安全科学引用本文复制引用
王天擎,赵良辉,谢军..区间值信息系统中基于邻域系统的粗糙集模型[J].计算机应用研究,2012,29(11):4242-4245,4.基金项目
江苏省高校自然基金资助项目(10KJB520004) （10KJB520004）
广东省自然科学基金资助项目(8452902001001552) （8452902001001552）
