Natural partitioning-based forecasting model for fuzzy time-series

Sheng-Tun Li, Yeh Peng Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Citations (Scopus)

Abstract

Since the forecasting framework of fuzzy time-series introduced, there have been a variety of models developed to improve forecasting accuracy or reduce computation overhead. However, the issue of partitioning intervals has rarely been investigated. This paper presents a novel approach to handling the issue by applying the natural partitioning technique, which can recursively partition the universe of discourse level by level in a natural way. Experimental results on the enrollment data of the University of Alabama demonstrate that the resulting forecasting model can forecast the data effectively and efficiently and outperforms the existing models. Furthermore, the propose model can be extended to handle high-order fuzzy time series.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Fuzzy Systems - Proceedings
Pages1355-1359
Number of pages5
DOIs
Publication statusPublished - 2004 Dec 1
Event2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest, Hungary
Duration: 2004 Jul 252004 Jul 29

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume3
ISSN (Print)1098-7584

Other

Other2004 IEEE International Conference on Fuzzy Systems - Proceedings
CountryHungary
CityBudapest
Period04-07-2504-07-29

Fingerprint

Fuzzy Time Series
Forecasting
Time series
Partitioning
Model
Forecast
Partition
Higher Order
Interval
Experimental Results
Demonstrate

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Li, S-T., & Chen, Y. P. (2004). Natural partitioning-based forecasting model for fuzzy time-series. In 2004 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1355-1359). (IEEE International Conference on Fuzzy Systems; Vol. 3). https://doi.org/10.1109/FUZZY.2004.1375366
Li, Sheng-Tun ; Chen, Yeh Peng. / Natural partitioning-based forecasting model for fuzzy time-series. 2004 IEEE International Conference on Fuzzy Systems - Proceedings. 2004. pp. 1355-1359 (IEEE International Conference on Fuzzy Systems).
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Li, S-T & Chen, YP 2004, Natural partitioning-based forecasting model for fuzzy time-series. in 2004 IEEE International Conference on Fuzzy Systems - Proceedings. IEEE International Conference on Fuzzy Systems, vol. 3, pp. 1355-1359, 2004 IEEE International Conference on Fuzzy Systems - Proceedings, Budapest, Hungary, 04-07-25. https://doi.org/10.1109/FUZZY.2004.1375366

Natural partitioning-based forecasting model for fuzzy time-series. / Li, Sheng-Tun; Chen, Yeh Peng.

2004 IEEE International Conference on Fuzzy Systems - Proceedings. 2004. p. 1355-1359 (IEEE International Conference on Fuzzy Systems; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Li S-T, Chen YP. Natural partitioning-based forecasting model for fuzzy time-series. In 2004 IEEE International Conference on Fuzzy Systems - Proceedings. 2004. p. 1355-1359. (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2004.1375366