高阶直觉模糊时间序列预测模型

王亚男; 雷英杰; 雷阳; 范晓诗

doi:10.11959/j.issn.1000-436x.2016099

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高阶直觉模糊时间序列预测模型

学术论文 | 更新时间：2024-06-05

- 高阶直觉模糊时间序列预测模型
- High order intuitionistic fuzzy time series forecasting model
- 通信学报 2016年37卷第5期页码：115-124
- 作者机构：
  
  1. 空军工程大学防空反导学院，陕西西安 710051
  2. 武警工程大学电子技术系密码与信息安全武警部队重点实验室，陕西西安 710086
- 作者简介：
  
  [ "王亚男（1988-），女，山东青岛人，空军工程大学博士生，主要研究方向为网络信息安全。" ]
  [ "雷英杰（1956-），男，陕西渭南人，空军工程大学教授、博士生导师，主要研究方向为网络信息安全、智能信息处理。" ]
  [ "崔翠梅（1978-），女，江苏徐州人，苏州大学博士生，主要研究方向为协作频谱感知、跨层设计、网络优化等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61309022)
- DOI：10.11959/j.issn.1000-436x.2016099
  中图分类号： TP393.08
- 网络出版日期：2016-05，
  
  纸质出版日期：2016-05-15
- 稿件说明：
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王亚男, 雷英杰, 雷阳, 等. 高阶直觉模糊时间序列预测模型[J]. 通信学报, 2016,37(5):115-124.

Ya-nan WANG, Ying-jie LEI, Yang LEI, et al. High order intuitionistic fuzzy time series forecasting model[J]. Journal on communications, 2016, 37(5): 115-124.
王亚男, 雷英杰, 雷阳, 等. 高阶直觉模糊时间序列预测模型[J]. 通信学报, 2016,37(5):115-124. DOI： 10.11959/j.issn.1000-436x.2016099.

Ya-nan WANG, Ying-jie LEI, Yang LEI, et al. High order intuitionistic fuzzy time series forecasting model[J]. Journal on communications, 2016, 37(5): 115-124. DOI： 10.11959/j.issn.1000-436x.2016099.

摘要

提出一种高阶直觉模糊时间序列预测模型。模型首先应用模糊聚类算法实现论域的非等分划分；然后，针对直觉模糊时间序列的数据特性，提出一种更具客观性的直觉模糊集隶属度和非隶属度函数的确定方法；最后，利用直觉模糊多维取式推理建立高阶模型的预测规则，进行预测。在Alabama大学入学人数和北京市日均气温2组数据集上分别与典型方法进行对比实验，结果表明该模型有效提高了预测精度，证明了模型的有效性和优越性。

Abstract

A high order intuitionistic fuzzy time series forecasting model was built.In the new model

fuzzy clustering algorithm was used to get unequal intervals

and a more objective technique for ascertaining membership and non-membership functions of intuitionistic fuzzy set was proposed.On these bases

forecasting rules based on mul-ti-dimension intuitionistic fuzzy modus ponens inference were established.At last

contrast experiments on the enroll-ments of the university of Alabama and the daily average temperature of Beijing were carried out

which show that the novel model has a clear advantage of improving the forecasting accuracy.

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references

SONG Q , CHISSOM B S . Forecasting enrollments with fuzzy time series-Part I [J ] . Fuzzy Sets and Systems , 1993 , 54 ( 1 ): 1 - 9 .

SONG Q , CHISSOM B S . Fuzzy time series and its models [J ] . Fuzzy Sets and Systems , 1993 , 54 ( 1 ): 269 - 277 .

SINGH S R . A robust method of forecasting based on fuz y time series [J ] . Applied Mathematics and Computation , 2007 , 188 ( 1 ): 472 - 484 .

QIU W , LIU X , WANG L . Forecasting shanghai composite i x based on fuzzy time series and improved c-fuzzy decision trees [J ] . Expert Systems with Applications , 2012 , 39 ( 9 ): 7680 - 7689 .

DOMANSKA D , WOJTYLAK M . Application of fuzzy time series models for forecasting pollution concentrations [J ] . Expert Systems with Applications , 2012 , 39 ( 9 ): 7673 - 7679 .

CHEN S M . Forecasting enrollments based on fuzzy time ies [J ] . Fuzzy Sets and Systems , 1996 , 81 ( 3 ): 311 - 319 .

HUARNG K , YU T H K . Ratio-based lengths of intervals to improve fuzzy time series forecasting [J ] . IEEE Transactions on Systems,Man,and Cybernetics-Part B:Cybernetics , 2006 , 36 ( 2 ): 328 - 340 .

LU W , CHEN X , PEDRYCZ W , et al . Using interval information granules to improve forecasting in fuzzy time series [J ] . International Journal of Approximate Reasoning , 2015 , 57 : 1 - 18 .

LIU J W , CHEN T L , CHENG C H , et al . Adaptive-expectation based multi-attribute FTS model for forecasting TAIEX [J ] . Computers and Mathematics with Applications , 2010 , 59 ( 2 ): 795 - 802 .

CHENG C H , CHEN T L , WEI L Y . A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting [J ] . In-formation Science , 2010 , 180 ( 9 ): 1610 - 1629 .

KHASHEI M , HEJAZI S R , BIJARI M . A new hybrid artificial neural networks and fuzzy regression model for time series forecasting [J ] . Fuzzy Sets and Systems , 2008 , 159 ( 7 ): 769 - 786 .

PARK J I , LEE D J , SONG C K , et al . TAIFEX and KOSPI 200 fore-casting based on two-factor high-order fuzzy time series and particle swarm optimization [J ] . Expert Systems with Applications , 2010 , 37 ( 2 ): 959 - 967 .

LI S T , KUO S C , CHENG Y C , et al . Deterministic vector long-term forecasting for fuzzy time series [J ] . Fuzzy Sets and Systems , 2010 , 161 ( 13 ): 1852 - 1870 .

TSAI C C , WU S J . A study for second-order modeling of fuzzy time series [C ] // 1999 IEEE International Fuzzy Systems Conference Pro-ceedings . Seoul,Korea , c1999 : 22 - 25 .

AVAZBEIGI M , DOULABI S H H , KARIMI B . Choosing the appro-priate order in fuzzy time series:a new -factor fuzzy time series forn prediction of the auto industry production [J ] . Expert Systems with Ap-plications , 2010 , 37 ( 8 ): 5630 - 5639 .

ALADAG C H , BASARAN M A , EGRIOGLU E , et al . Forecastin in high order fuzzy times series by using neural networks to define fuzzy relations [J ] . Expert Systems with Applications , 2009 , 36 ( 3 ): 4228 - 4231 .

CHEN S M , CHEN S W . Fuzzy forecasting based on two-factor second-order fuzzy-trend logical relationship groups and the probabili-ties of trends of fuzzy logical relationships [J ] . IEEE Transactions on Cybernetics , 2015 , 45 ( 3 ): 405 - 417 .

SONG Q , CHISSOM B S . Forecasting enrollments with fuzzy time series-part II [J ] . Fuzzy Sets and System , 1994 , 62 ( 1 ): 1 - 8 .

HWANG J R , CHEN S M , LEE C H . Handling forecasting problems using fuzzy time series [J ] . Fuzzy Sets and Systems , 1998 , 100 ( 1 ): 217 - 228 .

CHEN S M , HWANG J R . Temperature prediction using fuzzy time series [J ] . IEEE Transactions on Systems,Man,and Cybernetics-part B:Cybernetics , 2000 , 30 ( 2 ): 263 - 275 .

LIU H T , WEI N C , YANG C G . Improved time-variant fuzzy time series forecast [J ] . Fuzzy Optimization Decision Making , 2009 , 8 ( 1 ): 45 - 65 .

CASTILLO O , ALANIS A , GARCIA M , et al . An intuitionist c fuzzy system for time series analysis in plant monitoring and diagnosis [J ] . Applied Soft Computing , 2007 , 7 ( 4 ): 1227 - 1233 .

JOSHIB P , KUMAR S . Intuitionistic fuzzy sets based method for fuzzy time series forecasting [J ] . Cybernetics and Systems:An Interna-tional Journal , 2012 , 43 ( 1 ): 34 - 47 .

郑寇全 , 雷英杰 , 王睿 , 等 . 直觉模糊时间序列建模及应用 [J ] ．控制与决策 , 2013 , 28 ( 10 ): 1525 - 1530 .

ZHENG K Q , LEI Y J , WANG R , et al . Modeling and application of IFTS [J ] . Control and Decision , 2013 , 28 ( 10 ): 1525 - 1530 .

郑寇全 , 雷英杰 , 王睿 , 等 . 参数自适应的长期IFTS预测算法 [J ] ．系统工程与电子技术 , 2014 , 36 ( 1 ): 99 - 104 .

ZHENG K Q , LEI Y J , WANG R , et al . Method of long-term IFTS fo-recasting based on parameter adaptation [J ] . Systems Engineering and Electronics , 2014 , 36 ( 1 ): 99 - 104 .

ATANASSOV K . Intuitionistic fuzzy sets [J ] . Fuzzy Sets and Systems , 1986 , 20 ( 1 ): 87 - 96 .

梁保松 , 曹殿立 . 模糊数学极其应用 [M ] ．北京 : 科学出版社 , 2007 : 75 - 77 .

LIANG B S , CAO D L . Fuzzy mathematics and applications [M ] . Bei-jing : Science Press , 2007 : 75 - 77 .

雷阳 . 基于直觉模糊核匹配追踪的目标识别方法研究 [D ] ．西安:空军工程大学 , 2012 .

LEI Y . Research on target recognition techniques based on intuitionis-tic fuzzy sets and kernel matching pursuit [D ] . Xi'an:Air Force Engi-neering University , 2012 .

雷英杰 , 赵杰 , 路艳丽 , 等 . 直觉模糊集理论及应用(上册) [M ] ．北京 : 科学出版社 , 2014 : 145 - 155 .

LEI Y J , ZHAO J , LU Y L , et al . Theories and applications of intuitio-nistic fuzzy set [M ] . Bei-jing : Science Press , 2014 : 145 - 155 .

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