Fuzzy Control and Network System Design for Time Series Prediction Model

  • X. L. Lu
  • H. X. Wang
  • Z. X. Zhao
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

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 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.

Keywords

Fuzzy time series forecasting model FTSFM (0.0004) Inverse fuzzy number Predictive value Tourism income 

Notes

Acknowledgments

This work is supported by Natural Science Foundation of Hainan Province (Grant No.714283), Scientific Research Foundation of Qiong zhou University (Grant No.QYXB201301).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • X. L. Lu
    • 1
  • H. X. Wang
    • 1
  • Z. X. Zhao
    • 1
  1. 1.Hainan Tropical Ocean UniversitySanyaChina

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