摘要
针对不完备信息系统的知识获取,提出了一种基于相容度的变精度粗糙集模型,该模型是变精度粗糙集模型在不完备信息系统中的拓展.定义了这种模型上的知识约简,并给出了求约简的一个启发式算法.最后通过实例分析说明了算法的有效性.
Knowledge reduction is one of the most important tasks in rough set theory. In this paper a new rough set model based on tolerance degree has been presented in incomplete information systems. This model extends the classical rough set model in complete information systems. A heuristic algorithm based on the significance of attributes has also been proposed. An example has been given to illustrate the validity of the presented algorithm.
出处
《中北大学学报（自然科学版）》
EI
CAS
2006年第4期283-287,共5页
Journal of North University of China(Natural Science Edition)
基金
国家自然科学基金资助项目(70571032)
江苏省高校自然科学研究指导性计划研究项目(05KJD520102)
南京审计学院科学研究项目(NSK2006/A03
NSK2005/B34)
关键词
粗糙集
不完备信息系统
相容度
变精度粗糙集模型
约简
rough sets
incomplete information model
reduction systems
tolerance degree
variable-precision rough-set
