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FCM Relationship Modeling for Engineering Systems

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Fuzzy Cognitive Maps for Applied Sciences and Engineering

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 54))

Abstract

Semantic graphs like fuzzy cognitive map (FCM) are known as powerful methodologies commonly used in control applications, as well as in relationship modeling. Besides, FCM is used as a systematic way for analyzing real-world problems with numerous known, partially known and unknown factors. This chapter discusses FCM application in relationship modeling context using some agile inference mechanisms. A sigmoid-based activation function is discussed with application in modeling hexapod locomotion gait. The activation algorithm is then added with a Hebbian weight training technique to enable automatic construction of FCMs. A numerical example case is included to show the performance of the developed model. The model is examined with perceptron learning rule as well. Finally a real-life example case is tested to evaluate the final model in terms of relationship modeling.

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Author information

Authors and Affiliations

  1. Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, 76100, Melaka, Malaysia

    O. Motlagh & F. A. Jafar

  2. Faculty of Engineering, Department of Mechanical and Manufacturing, University Putra Malaysia, 43400, Selangor, Malaysia

    S. H. Tang & W. Khaksar

Authors
  1. O. Motlagh
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  2. S. H. Tang
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  3. F. A. Jafar
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  4. W. Khaksar
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Corresponding author

Correspondence to O. Motlagh .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Technological Educational Institute of Central Greece, Lamia, Greece

    Elpiniki I. Papageorgiou

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Motlagh, O., Tang, S.H., Jafar, F.A., Khaksar, W. (2014). FCM Relationship Modeling for Engineering Systems. In: Papageorgiou, E. (eds) Fuzzy Cognitive Maps for Applied Sciences and Engineering. Intelligent Systems Reference Library, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39739-4_3

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  • DOI: https://doi.org/10.1007/978-3-642-39739-4_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39738-7

  • Online ISBN: 978-3-642-39739-4

  • eBook Packages: EngineeringEngineering (R0)

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