一种新的直觉模糊时间序列预测方法

计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 76-79.

一种新的直觉模糊时间序列预测方法

李娜,雷英杰,郑寇全,都继军

兰州军区临潼疗养院信息科西安710600;空军工程大学防空反导学院西安710051;空军工程大学防空反导学院西安710051;兰州军区临潼疗养院信息科西安710600

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金项目(61272011,9),国家重点实验室基金项目(2012ADL-DW0301)资助

New Forecasting Method of Intuitionistic Fuzzy Time Series

LI Na,LEI Ying-jie,ZHENG Kou-quan and DU Ji-jun

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 针对现有直觉模糊时间序列预测模型论域区间划分和序列数据直觉模糊化预处理方法存在的问题,提出了一种新的直觉模糊时间序列预测算法,通过引入滑动窗口参数准确反映不确定数据集的分布特性,利用可调参的直觉模糊C均值聚类算法优化论域区间划分标准,基于直觉模糊范数定义语言变量直觉模糊集,有效地提高了复杂环境下时序系统的预测精度。最后,通过典型实例验证了该方法的有效性和优越性。

关键词: 直觉模糊集,直觉模糊时间序列,直觉模糊范数,预测中图法分类号TP18文献标识码A

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

李娜,雷英杰,郑寇全,都继军. 一种新的直觉模糊时间序列预测方法[J]. 计算机科学, 2014, 41(Z6): 76-79. https://doi.org/

LI Na,LEI Ying-jie,ZHENG Kou-quan and DU Ji-jun. New Forecasting Method of Intuitionistic Fuzzy Time Series[J]. Computer Science, 2014, 41(Z6): 76-79. https://doi.org/

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