Fuzzy Time Series Analysis and Forecasting

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Fundamentals of Statistics with Fuzzy Data

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 198))

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Abstract

The problem of system modeling and identification has attracted considerable attention during the past decades mostly because of a large number of applications in diverse fields. In this chapter we give a well defined fuzzy time series model with forecasting through the Markov fuzzy relation. An illustrative algorithm based on a fuzzy logic is developed to predicate the multivariate dynamic data.

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T. Nguyen, H., Wu, B. Fuzzy Time Series Analysis and Forecasting. In: Fundamentals of Statistics with Fuzzy Data. Studies in Fuzziness and Soft Computing, vol 198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11353492_9

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  • DOI: https://doi.org/10.1007/11353492_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31695-4

  • Online ISBN: 978-3-540-31697-8

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