A New Classification Algorithm Based on Certainty Architecture

This paper proposed a kind of classification algorithm which brought in certainty factors of expert system as certainty theory proof based on certainty and support architecture aimed at the problem that classical association rules algorithm based on confidence and support architecture couldn´t generates association rules accurately facing some questions on mathematical statistics. With experiment verified, this classification algorithm based on certainty and support architecture has a better performance improved the accuracy and perceptiveness of association rules effectively.