Attribution Reduction Based On Rough Set Theory And Its Application In Risk Identification

In this article,at first,we introduce rough set theory's formation, research and development status and it's fundamental theory.Then ,the research and development status of the risk management and it's component have bee n introduced in the second chapter.Next,we introduce three methods of the ris k identification and analyse its' advantage and disadvantage, eventually,we improve reduction method of attribution based on rough set theory. Specific methods are as follows,Firstly,it transforms the discernibility matrix and joins the single element which has been deleted in the process of transformation in the set of attribution reduction.After that, it joins the maximum frequency of attribute which appears in the transformational discernibility matrix in the set of attributes reduction.Finally,verify whether the reduction is the optimum reduction of information system,if it is not, we delete this element,otherwise, we remain this element.This meathod largely makes reduction simply and convenient.the generated data through reduction is more objective and less affected by external factors.author applies this meathod to risk indentification. by using this meathod we can choose main risk factors from large amounts of data.