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Fuzzy Control and Network System Design for Time Series Prediction Model

In: Recent Developments in Data Science and Business Analytics

Author

Listed:
  • X. L. Lu

    (Hainan Tropical Ocean University)

  • H. X. Wang

    (Hainan Tropical Ocean University)

  • Z. X. Zhao

    (Hainan Tropical Ocean University)

Abstract

This paper proposed and developed a set of fuzzy time series prediction model FTSFM (Fuzzy Time Series Forecasting Model) based on the historical data, the concepts of fuzzy number function and inverse fuzzy numberInverse fuzzy number function and predictive function, which the basic theory of FTSFM was initially established. The general elements of FTSFM and the prediction function are FTSFM (μ). FTSFM (0.0004) is one of the commonly used prediction models of FTSFM. Based on the forecast of tourism revenue of Sanya city in 2006~2014, this paper introduces the whole process of the application of FTSFM (0.0004). FTSFM (0.0004) provides a new way of thinking for the research of time series prediction.

Suggested Citation

  • X. L. Lu & H. X. Wang & Z. X. Zhao, 2018. "Fuzzy Control and Network System Design for Time Series Prediction Model," Springer Proceedings in Business and Economics, in: Madjid Tavana & Srikanta Patnaik (ed.), Recent Developments in Data Science and Business Analytics, chapter 0, pages 327-334, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-72745-5_36
    DOI: 10.1007/978-3-319-72745-5_36
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