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Two Modifications of the Automatic Rule Base Synthesis for Fuzzy Control and Decision Making Systems

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations (IPMU 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 854))

Abstract

This paper presents two modifications of the method of synthesis and optimization of rule bases (RB) of fuzzy systems (FS) for decision making and control of complex technical objects under conditions of uncertainty. To illustrate the advantages of the proposed method, the development of the RB of Mamdani type fuzzy controller (FC) for the automatic control system (ACS) of the reactor temperature of the experimental specialized pyrolysis plant (SPP) is carried out. The efficiency of the presented method of synthesis and optimization of the FS RB is investigated and its comparison with the other existing methods is carried out on the basis of this FC. Analysis of simulation results confirms the high efficiency of the proposed by the authors method of synthesis and reduction of the FS RB.

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Acknowledgment

Prof. Dr.Sc. Yuriy P. Kondratenko thanks the Fulbright Scholar Program for the possibility to conduct research in USA, Cleveland State University, 2015–2016.

Author information

Authors and Affiliations

  1. Intelligent Information Systems Department, Petro Mohyla Black Sea National University, 68-th Desantnykiv str. 10, Mykolaiv, 54003, Ukraine

    Yuriy P. Kondratenko

  2. Computerized Control Systems Department, Admiral Makarov National University of Shipbuilding, Heroes of Ukraine ave. 9, Mykolaiv, 54025, Ukraine

    Yuriy P. Kondratenko, Oleksiy V. Kozlov & Oleksiy V. Korobko

Authors
  1. Yuriy P. Kondratenko
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  2. Oleksiy V. Kozlov
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  3. Oleksiy V. Korobko
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Corresponding author

Correspondence to Yuriy P. Kondratenko .

Editor information

Editors and Affiliations

  1. Universidad de Cádiz, Cádiz, Cadiz, Spain

    Jesús Medina

  2. Universidad de Málaga, Málaga, Málaga, Spain

    Manuel Ojeda-Aciego

  3. Universidad de Granada, Granada, Spain

    José Luis Verdegay

  4. Universidad de Granada, Granada, Spain

    David A. Pelta

  5. Universidad de Málaga, Málaga, Málaga, Spain

    Inma P. Cabrera

  6. LIP6, Université Pierre et Marie Curie, CNRS, Paris, France

    Bernadette Bouchon-Meunier

  7. Iona College, New Rochelle, New York, USA

    Ronald R. Yager

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Kondratenko, Y.P., Kozlov, O.V., Korobko, O.V. (2018). Two Modifications of the Automatic Rule Base Synthesis for Fuzzy Control and Decision Making Systems. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 854. Springer, Cham. https://doi.org/10.1007/978-3-319-91476-3_47

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  • DOI: https://doi.org/10.1007/978-3-319-91476-3_47

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