计算机工程与应用 ›› 2017, Vol. 53 ›› Issue (12): 128-132.DOI: 10.3778/j.issn.1002-8331.1601-0062

• 模式识别与人工智能 • 上一篇    下一篇

复合覆盖粗糙集模型及其应用

赵  静,蒋  芸   

  1. 西北师范大学 计算机科学与工程学院,兰州 730070
  • 出版日期:2017-06-15 发布日期:2017-07-04

Composite covering rough sets model and its application

ZHAO Jing, JIANG Yun   

  1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China
  • Online:2017-06-15 Published:2017-07-04

摘要: 针对覆盖粗糙集仅适用于单一数据类型的论域覆盖的问题,提出复合覆盖粗糙集模型。在研究邻域覆盖粗糙集、集值覆盖粗糙集、区间值覆盖粗糙集的基础上,在复合数据模型下,通过建立多种覆盖关系(邻域覆盖、集值覆盖、区间值覆盖等),提出复合覆盖粗糙集模型,并给出复合覆盖粗糙集相关概念及性质。该模型适用于多种数据类型(符号数据、区间数据、集合数据、数值数据等)的论域覆盖问题,通过实例说明了该模型在复合信息系统中的应用,进一步加深对复合覆盖粗糙集相关概念的理解。

关键词: 覆盖粗糙集, 邻域覆盖粗糙集, 集值覆盖粗糙集, 区间值覆盖粗糙集, 复合覆盖粗糙集

Abstract: Because the classical covering rough sets can only apply to single data type in the covering domain, composite covering rough sets are presented. Firstly, based on the study of the neighborhood covering rough sets, the set-valued covering rough sets and the interval-valued covering rough sets, composite covering rough sets are presented by establishing a variety of coverage relations, includes neighborhood covering relation, set-valued covering relation, the interval-valued covering relation, which are under the composite data model. The relevant concepts and properties are presented. Secondly, the model are applied to the domain covering problem of a variety of data types, for example symbol data, interval-valued data, set-valued data, number data etc. Finally, an example is given to illustrate the application of the model in composite information system for further deep understanding of the related concepts in composite covering rough sets.

Key words: covering rough sets, neighborhood covering rough sets, set-valued covering rough sets, interval-valued covering rough sets, composite covering rough sets