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针对模糊时间序列预测理论对不确定性数据集的实时模糊变化趋势研究存在的不足,规范了直觉模糊时间序列的定义,提出了基于直觉模糊线性方程组的直觉模糊时间序列预测方法.所提出的算法将模型的求解转化为一系列带有约束的线性规划问题,准确地反映了序列数据随时间发展变化的模糊关联规律,简化了预测模型的复杂度,提高了时间序列预测的精度,扩展了直觉模糊时间序列预测理论的应用范围.最后,通过仿真实验验证了所提出方法的有效性和优越性.
Aiming at the shortcomings of the fuzzy time series forecasting theory on the real-time fuzzy change tendency of uncertainty data sets, the definition of intuitionistic fuzzy time series is regulated and the intuitionistic fuzzy time series forecasting method based on intuitionistic fuzzy linear equations is proposed. The algorithm transforms the solution of the model into a series of linear programming problems with constraints, which accurately reflects the fuzzy association rules of sequence data evolving with time, simplifies the complexity of prediction model and improves the accuracy of time series prediction, The application scope of intuitionistic fuzzy time series prediction theory.Finally, the validity and superiority of the proposed method are verified by simulation experiments.