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Fuzzy Multilayer Perceptrons for Fuzzy Vector Regression

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Women in Computational Intelligence

Part of the book series: Women in Engineering and Science ((WES))

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Abstract

In this chapter, we introduce the fuzzy multilayer perceptrons with cuckoo search (CS-FMLP). In particular, the fuzzy multilayer perceptrons is an algorithm that can deal with fuzzy inputs and fuzzy outputs. The optimal weights and biases are found by the cuckoo search algorithm. We show how this algorithm can be used in the regression research area using three real data sets, the yacht hydrodynamics data set, the energy efficiency data set, and the upper Ping river data set. To show the goodness of the algorithm, we implement the multilayer perceptrons with cuckoo search (CS-MLP) as well. The comparison results show that our CS-FMLP is comparable to the CS-MLP on some results and better than the CS-MLP on the others. However, the real advantage of this CS-FMLP algorithm is that it can provide the possible range of the predicted value, while CS-MLP can only provide the exact predicted value.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

    Sansanee Auephanwiriyakul & Suwannee Phitakwinai

  2. Biomedical Engineering Institute, Chiang Mai University, Chiang Mai, Thailand

    Sansanee Auephanwiriyakul & Nipon Theera-Umpon

  3. Department of Computer Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna, Chiang Mai, Thailand

    Suwannee Phitakwinai

  4. Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

    Nipon Theera-Umpon

Authors
  1. Sansanee Auephanwiriyakul
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  2. Suwannee Phitakwinai
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  3. Nipon Theera-Umpon
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Corresponding author

Correspondence to Sansanee Auephanwiriyakul .

Editor information

Editors and Affiliations

  1. Department of Industrial and Systems Engineering and Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA

    Alice E Smith

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Auephanwiriyakul, S., Phitakwinai, S., Theera-Umpon, N. (2022). Fuzzy Multilayer Perceptrons for Fuzzy Vector Regression. In: Smith, A.E. (eds) Women in Computational Intelligence. Women in Engineering and Science. Springer, Cham. https://doi.org/10.1007/978-3-030-79092-9_12

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