Abstract: Aiming at the problem that the existing intuitionistic models lack persuasiveness in partitioning interval and series data intuitionistic fuzzifying,the intuitionistic fuzzy time series forecasting model was advanced．The new method reflects the distribution characters of the uncertain data set accurately by introducing sliding windows scheme,optimizes the domain-dividing interval with the intuitionistic fuzzy C-means clustering algorithm on parameter adjusting,defines series variable intuitionistic fuzzy sets based on the intuitionistic fuzzy distance norm．Consequently,the prediction accuracy of time series in complex environment is improved effectively．Finally,the experimental results validate the efficiency and advantage of the proposed algorithm．

Key words: Intuitionistic fuzzy set,Intuitionistic fuzzy time series,Intuitionistic fuzzy normal,Forecasting