Fuzzy Control and Network System Design for Time Series Prediction Model

X. L. Lu, H. X. Wang and Z. X. Zhao
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X. L. Lu: Hainan Tropical Ocean University
H. X. Wang: Hainan Tropical Ocean University
Z. X. Zhao: Hainan Tropical Ocean University

Chapter Chapter 36 in Recent Developments in Data Science and Business Analytics, 2018, pp 327-334 from Springer

Abstract: 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.

Keywords: Fuzzy time series forecasting model; FTSFM (0.0004); Inverse fuzzy number; Predictive value; Tourism income (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-72745-5_36

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DOI: 10.1007/978-3-319-72745-5_36

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