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Multi-criterial Optimization Problem for Fuzzy If-Then Rules

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14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 (ICAFS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1306))

Abstract

Fuzzy IF-Then rules as universal approximator very frequently are used for linguistic modelling of real-world complex system. This type of models is characterized mainly two contradictory requirements: Interpretability and accuracy. Unfortunately, researchers in existing works usually focused on the accuracy of the models without paying attention to their interpretability. However, very important problem in developing of fuzzy If-Then rule base is to achieve the best trade-off between interpretability and accuracy. In this paper, we will consider the problem of investigation of trade-off between complexity and semantic-based interpretability and accuracy of fuzzy If-Then knowledge base. The proposed approach is related with differential evolutionary optimization-based multicriteria decision-making problem. Numerical example related to the multi-criterial optimization problem is given.

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Author information

Authors and Affiliations

  1. Research Laboratory of Intelligent Control and Decision Making Systems in Industry and Economics, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    O. H. Huseynov

  2. Joint MBA Program, Azerbaijan State Oil and Industry University, 20 Azadlig Avenue, Baku, AZ1010, Azerbaijan

    Nigar E. Adilova

Authors
  1. O. H. Huseynov
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  2. Nigar E. Adilova
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Corresponding author

Correspondence to O. H. Huseynov .

Editor information

Editors and Affiliations

  1. Department of Control Systems, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa Babanli

  6. Department of Mechatronics, Near East University, Mersin, Turkey

    Fahreddin M. Sadikoglu

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Huseynov, O.H., Adilova, N.E. (2021). Multi-criterial Optimization Problem for Fuzzy If-Then Rules. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 . ICAFS 2020. Advances in Intelligent Systems and Computing, vol 1306. Springer, Cham. https://doi.org/10.1007/978-3-030-64058-3_10

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