Completing data algorithm based on similarity relation vector
LI Long-shu · Jisuanji yingyong yanjiu · 2013
This paper studied the problems of filling up incompleted data,and proposed an completing data algorithm based on similarity relation vector according to the decision rule independence principle.It could efficiently solve the potential contradiction between decision rules comparing with the original ROUSTIDA algorithm.A practical case proves the completing accuracy rate is upper than ROUSTIDA algorithm's,and the new algorithm has better practical value.