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Entropy of Fuzzy Dynamical Systems

  • Conference paper
The State of the Art in Computational Intelligence

Part of the book series: Advances in Soft Computing ((AINSC,volume 5))

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Abstract

Using fuzzy partitions instead of set partitions we have defined a new invariant of dynamical systems. In this communication we discuss the notion and show how it can be modified to be useful.

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References

  1. Malickÿ, P., Riecan, B. (1987) On the entropy of dynamical systems. In: Proc. Ergodic Theory and Related Topics II, pp. 135–138. Taubner, Leipzig

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  2. Hudetz, T. (1993) Quantum topological entropy. In: Quantum Probability and related Topics VIII, pp. 237–261. World Scientific, Singapore

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  3. Riecan, B., Neubrunn, T. (1997) Integral, Measure, and Ordering. Kluwer, Dordrecht and Ister, Bratislava

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Author information

Authors and Affiliations

  1. Mathematical Institute, Slovak Academy of Sciences, Štefánikova 49, 814 73, Bratislava, Slovakia

    Beloslav Riečan

  2. Faculty of Natural Sciences, Matej Bel University, Tajovského 40, 974 01, Banská Bystrica, Slovakia

    Beloslav Riečan

Authors
  1. Beloslav Riečan
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letna 9/B, 040 00, Košice, Slovakia

    Peter Sinčák  & Ján Vaščák  & 

  2. Faculty of Chemical Technology, Slovak University of Technology Bratislava, Radlinskeho 9, 812 37, Bratislava, Slovakia

    Vladimír Kvasnička

  3. Faculty of Civil Engineering, Slovak University of Technology Bratislava, Radlinskeho 11, 813 68, Bratislava, Slovakia

    Radko Mesiar

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© 2000 Springer-Verlag Berlin Heidelberg

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Riečan, B. (2000). Entropy of Fuzzy Dynamical Systems. In: Sinčák, P., Vaščák, J., Kvasnička, V., Mesiar, R. (eds) The State of the Art in Computational Intelligence. Advances in Soft Computing, vol 5. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1844-4_68

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  • DOI: https://doi.org/10.1007/978-3-7908-1844-4_68

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1322-7

  • Online ISBN: 978-3-7908-1844-4

  • eBook Packages: Springer Book Archive

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