Mining Rules Based on Elastic Trust Granular
Uncertainty and imprecision problem is a common phenomenon in the medical diagnosis, this paper present a novel method to deal with it. The first, some new concepts such as elastic trust, elastic trust granular (ETG), inclusion and similarity relation of elastic trust (ISRET), and so on are introduced. The second, on that basis, the paper puts forward a novel distance of elastic trust granular, such as inclusion and diversity/similarity relation distance of elastic trust granular (IDSRDETG), The third, mining rules based on these concepts, is discussed. It was proved to be feasible and effective after tested with a database.
rough set elastic trust granular the distance of elastic trust granular diagnostic rules
Bin Nie Jianqiang Du Hongning Liu Riyue Yu Zhuo Wang
School of Computer Jiang Xi University of Traditional Chinese Medicine Nanchang, China Software School of Nanchang University Nanchang, China
国际会议
太原
英文
63-66
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）