Medical information research based on fuzz integral
Ya-nan Han, Jinjie Song · 2008
As we know, the treatment of a patient is a fuzz process which usually can not be described by certain words or numbers. And that is why we tend to ask for an old and experienced doctor to cure us. Since the data of invalids can not keep invariable and exact, we can't judge disease by some numbers of them. That is the reason fuzz integral is used to set up the medical decision model. It is the advantage that the new model gets rid of the dependence on evaluation targets' isolation. On the other hand, rough set can help us to set up a series of rules to judge disease by the patient's symptom which is well combined with fuzz math.