A New Method of Membership Conversion for Fuzzy Evaluation of the Oil Storage Safety

In order to realize evaluation of oil storage safety, clear the redundant data in indexes membership which is not useful for goal classification, based on data mining of entropy, mining knowledge information about object classification hidden in every index, affirming the relation of object classification and index membership, eliminating the redundant data in index membership for object classification by defining distinguishable weight, extracting valid values to compute object membership. A case of oil storage safety is in this paper. Empirical results show that: In order to clear the interference of redundant data, the membership conversion will be used as valid method with multiple indexes attributes. The method based on data mining of entropy clear the interference of redundant data in fuzzy evaluation and many multiple indexes decision-making are solved.