For the lack of extension classification and the uncertainty in classification，this paper studies extension
transformation and rough classification, attribute reduction and rules extraction, data forecast and program identification
of extension group decision-making under uncertainty by combining correlation function and decision function, to improve
the accuracy and the reliability of data mining by making comparison and selection of objects in changing environment, and
to solve systematic classification problems of multi-project extension classification, dynamic recognition in extension group
decision-making.