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International Conference on Neural Information Processing

ICONIP 2015: Neural Information Processing pp 644–653Cite as

Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9489))

Abstract

In this paper, a hybrid training model for interval type-2 fuzzy logic system is proposed. The hybrid training model uses extreme learning machine to tune the consequent part parameters and genetic algorithm to optimize the antecedent part parameters. The proposed hybrid learning model of interval type-2 fuzzy logic system is tested on the prediction of Mackey-Glass time series data sets with different levels of noise. The results are compared with the existing models in literature; extreme learning machine and Kalman filter based learning of consequent part parameters with randomly generated antecedent part parameters. It is observed that the interval type-2 fuzzy logic system provides improved performance with the proposed hybrid learning model.

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Author information

Authors and Affiliations

  1. Department of CIS, Universiti Teknologi PETRONAS, Tronoh, Malaysia

    Saima Hassan & Jafreezal Jaafar

  2. Kohat University of Science and Technology, Kohat, Pakistan

    Saima Hassan

  3. Centre for Intelligent Systems Research, Deakin University, Dandenong, Australia

    Abbas Khosravi

  4. Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran

    Mojtaba Ahmadieh Khanesar

Authors
  1. Saima Hassan
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  2. Abbas Khosravi
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  3. Jafreezal Jaafar
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  4. Mojtaba Ahmadieh Khanesar
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Corresponding author

Correspondence to Saima Hassan .

Editor information

Editors and Affiliations

  1. University of Istanbul, Istanbul, Turkey

    Sabri Arik

  2. University at Qatar, Doha, Qatar

    Tingwen Huang

  3. Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia

    Weng Kin Lai

  4. University of Science Technology, Wuhan, China

    Qingshan Liu

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© 2015 Springer International Publishing Switzerland

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Hassan, S., Khosravi, A., Jaafar, J., Khanesar, M.A. (2015). Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9489. Springer, Cham. https://doi.org/10.1007/978-3-319-26532-2_71

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  • DOI: https://doi.org/10.1007/978-3-319-26532-2_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26531-5

  • Online ISBN: 978-3-319-26532-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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