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Hierarchical Fuzzy Logic Systems: Current Research and Perspectives

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8467))

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Abstract

This paper presents possible application of hierarchical fuzzy logic systems to control vehicles in computer games. The main idea is presented in two ways, a current research referring to paper [14] and concerning the new architecture of a fuzzy logic system as Hierarchical Fuzzy Logic Systems (HFLS), and a brief look at the application of higher order fuzzy sets to these systems. ”Hierarchical” means that fuzzy sets produced as output of one of fuzzy controllers are then processed as an input of another fuzzy controller. The use of such a controller significantly enhances the possibilities of computational intelligence methods in single-player games, i.e. where the ”enemy” is controlled by agents simulating some real behaviour. The original proposal takes into account type-1 fuzzy sets which are not able to model uncertainties. The proposal presented in this paper models a type-2 hierarchical fuzzy logic system with uncertainties support, built with fuzzy controllers (in the sense of Mamdani). The advantages and disadvantages of HFLS in comparison to classical fuzzy systems with preliminary discussion about type-2 hierarchical fuzzy logic system are enumerated and commented on.

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Author information

Authors and Affiliations

  1. Institute of Information Technology, Lodz University of Technology, 215 Wolczanska St., 90-924, Lodz, Poland

    Krzysztof Renkas & Adam Niewiadomski

Authors
  1. Krzysztof Renkas
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  2. Adam Niewiadomski
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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Renkas, K., Niewiadomski, A. (2014). Hierarchical Fuzzy Logic Systems: Current Research and Perspectives. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8467. Springer, Cham. https://doi.org/10.1007/978-3-319-07173-2_26

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  • DOI: https://doi.org/10.1007/978-3-319-07173-2_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07172-5

  • Online ISBN: 978-3-319-07173-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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