基于确定性转换的IFTS预测

doi:10.3969/j.issn.0255-8297.2013.02.016

应用科学学报 ›› 2013, Vol. 31 ›› Issue (2): 204-211.doi: 10.3969/j.issn.0255-8297.2013.02.016

基于确定性转换的IFTS预测

郑寇全1,2，雷英杰1，王睿1，王毅1

1. 空军工程大学防空反导学院，西安710051
2. 中国人民解放军68331部队，西安714200

收稿日期:2012-04-09 修回日期:2012-09-04 出版日期:2013-03-25 发布日期:2012-09-04
作者简介:郑寇全，博士生，研究方向：智能信息处理，E-mail: zhengkouquan0421@163.com；雷英杰，教授、博导，研究方向：智能信息处理、智能决策等，E-mail: leiyjie@126.com
基金资助:
国家自然科学基金(No.60773209, No.61272011)；国家重点实验室开放基金(No.2012ADL-DW0301)资助

Prediction of IFTS Based on Deterministic Transition

ZHENG Kou-quan1,2, LEI Ying-jie1, WANG Rui1, WANG Yi1

1. Air Defense and Antimissile Institute, Air Force Engineering University, Xi’an 710051, China
2. Unit of 68331, PLA, Xi’an 714200, China

Received:2012-04-09 Revised:2012-09-04 Online:2013-03-25 Published:2012-09-04

摘要/Abstract

摘要： 模糊时间序列预测模型在对不确定数据集的模糊趋势描述和论域划分方面有局限性，对此文中规范了直觉模糊时间序列的定义，应用直觉模糊C均值聚类算法优化论域区间划分，通过加入回溯机制构建确定性转换直觉模糊规则库，在此基础上提出一种直觉模糊时间序列预测方法，较好地反映了不确定系统数据的特征分布，提高了复杂环境下时间序列的预测精度. 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, 时间序列, 确定性转换

Abstract: To break the limitation in the description of the fuzzy trend of uncertain data sets and the partitioning intervals, the definition of intuitionistic fuzzy time series is regulated. A forecasting method of intuitionistic fuzzy time series is proposed, which optimize the domain-dividing interval with an intuitionistic fuzzy C-means clustering algorithm. Deterministic transition intuitionistic fuzzy rules are established by adding a back-tracking scheme. The proposed method can better reflect the characteristic distribution of the uncertain system and improve the prediction accuracy of time series in complicated environments. Validity and superiority of the method are checked with a classical instance.

Key words: intuitionistic fuzzy set, time series, deterministic transition

中图分类号:

TP18

郑寇全1,2，雷英杰1，王睿1，王毅1. 基于确定性转换的IFTS预测[J]. 应用科学学报, 2013, 31(2): 204-211.

ZHENG Kou-quan1,2, LEI Ying-jie1, WANG Rui1, WANG Yi1. Prediction of IFTS Based on Deterministic Transition[J]. Journal of Applied Sciences, 2013, 31(2): 204-211.

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基于确定性转换的IFTS预测

Prediction of IFTS Based on Deterministic Transition

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