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.