Abstract
This paper is focused on modelling of time series data which are corrupted by noise using type 2 fuzzy logic system (FLS). Type 2 FLS in which premise or consequent membership functions are type-2 fuzzy sets, can handle rule uncertainties. Type-2 FLS is very similar to a type-1 FLS, the major structural difference being that the defuzzifier block of a type-1 FLS is replaced by the output processing block in a type-2 FLS. That block consists of type-reduction followed by defuzzification. In the simulation results, Box-Jenkin’s gas furnace time series will be demonstrated and we also compare the results of the type-2 fuzzy logic approach with the results of using only a traditional type-1 fuzzy logic approach.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kim, DW., Park, GT. (2005). Using Interval Singleton Type 2 Fuzzy Logic System in Corrupted Time Series Modelling. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_78
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DOI: https://doi.org/10.1007/11554028_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28897-8
Online ISBN: 978-3-540-31997-9
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