The Research Of Grey Theory And Knowledge Discovery Of Sets Information System And Theirs Application In SCM

Knowledge discovery is a process to abstract and refine a new mode from database. Information system is an abstract description of database which is also a database having the relationship of object and attributes. The knowledge discovery of information system essentially is the problem that how to classify the objects according to the characteristic of attributes. We want to identify the mode of correctness, novelty and latency valuable application though we are up against the problems of gigantic database and the multiformity that they presented. Based on this idea, in this paper the sets information system and inclusion degree, the tool of knowledge discovering in the information system had been introduced in firstly. The gain of knowledge is to seek some regulations from mass attributes and actually the relation between the antecedent and consequent of regulation is inclusion. And the similar degree of antecedent of the two regulations is not beyond which of consequent of the two regulations then it is said that the two regulations are concerted. So we can set up the correspond degree between the two regulations as a measurement index for measuring the importance of attributes. With the help of sets information system and inclusion degree, we can start working on knowledge discovery; however, there is still the existence of problems. In this paper the process of knowledge discovery of sets information system had been researched. And it is found that because of the shortness of sets information itself the computation of inclusion degree is rough. Then it leads the result that the precision of knowledge...