An Improved Uncertainty Measure Method of Rough Sets
The rough entropy always reduce with the subdivision of knowledge particles when it is used to measure the uncertainty of rough sets, no matter what the knowledge particles come from positive domain, negative domain or boundary domain. so the method rough entropy can not reflect the relationship between uncertainty and knowledge particles well. To solve this problem, an improved method based on rough entropy is proposed. This method is proved that it satisfies the basic standards and extended standards of uncertainty measure of rough sets. Then come to a conclusion that the uncertainty of rough sets will reduce only when knowledge particles which belong to boundary domain are subdivided. And this improved uncertainty method is applied into the fuzzy-rough algorithm based on fuzzy-rough theory.
rough entropy rough sets boundary domain uncertainty roughness
Yu Hua-jiao Leng Wen-hao
School of Internet of Things EngineeringJiangnan UniversityWuxi, Jiangsu, China School of Internet of Things Engineering Jiangnan University Wuxi, Jiangsu, China
国际会议
无锡
英文
396-399
2011-10-14（万方平台首次上网日期，不代表论文的发表时间）