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A Forecasting Approach of Fuzzy Time Series Model Based on a New Data Fuzzification

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International Conference on Oriental Thinking and Fuzzy Logic

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 443))

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Abstract

In view of the research about fuzzy time series models, the existing models are lack of objective data fuzzification and sensitivity. In this paper, firstly, a new method of defining fuzzy sets present is set up and six new fuzzy sets are given. Secondly, the rules of data fuzzification are defined. Finally, the model is used to forecast the enrollments of the University of Alabama. It is shown that the proposed model gets a higher forecasting accuracy than those which use traditional methods to forecast.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Dalian Maritime University, Dalian, 116026, China

    Gang Chen, Li-hong Yang & Xue Yang

Authors
  1. Gang Chen
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  2. Li-hong Yang
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  3. Xue Yang
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Corresponding author

Correspondence to Gang Chen .

Editor information

Editors and Affiliations

  1. Guangzhou Vocational Collg. Sci. & Tech., Guangzhou, China

    Bing-Yuan Cao

  2. West Texas A&M University, Canyon,TX,USA, Liaoning Technical University, Fuxin, China

    Pei-Zhuang Wang

  3. Foreign Affairs Office, National Defense University, Beijing, China

    Zeng-Liang Liu

  4. School of Math and Info. Science, Guangzhou University, Guangzhou, China

    Yu-Bin Zhong

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© 2016 Springer International Publishing Switzerland

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Chen, G., Yang, Lh., Yang, X. (2016). A Forecasting Approach of Fuzzy Time Series Model Based on a New Data Fuzzification. In: Cao, BY., Wang, PZ., Liu, ZL., Zhong, YB. (eds) International Conference on Oriental Thinking and Fuzzy Logic. Advances in Intelligent Systems and Computing, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-30874-6_29

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  • DOI: https://doi.org/10.1007/978-3-319-30874-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30873-9

  • Online ISBN: 978-3-319-30874-6

  • eBook Packages: EngineeringEngineering (R0)

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