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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