Although count operator was used effectively in the process of data preprocessing, abusive use would cause the inconsistent problem of attribute relationship. To solve that problem, after proposing three attribute construction rules, time-serial count operator, a new algorithm for time-serial correlative model without inconsistent problem of attribute relationship is proposed. The time-serial increment count operator can remarkably reduce the high computing cost of time-serial count operator if the assumption is satisfied. The results of experiments prove the above conclusion.