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On the Sensitivity of Weighted General Mean Based Type-2 Fuzzy Signatures

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9692))

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Abstract

Fuzzy signatures offer a possible way of describing, modeling and analysing of complex systems, when the exact mathematical model is not known or too difficult to handle. In these cases the input values have uncertainties, due to lack of knowledge or human activities. These uncertainties have influence on the final decision about the system. The uncertainties are taken into consideration as fuzzy sets, for example representing the uncertainty of a linguistic variable. In this paper we discuss the input sensitivity of type-2 weighted general mean aggregation operator and fuzzy signatures which are equipped with general means as aggregation operators.

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Acknowledgment

This research was supported by National Research, Development and Innovation Office (NKFIH) K105529 and K108405.

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Authors and Affiliations

  1. Department of Mathematics and Computational Sciences, Széchenyi István University, Győr, Hungary

    István Á. Harmati

  2. Department of Automation, Széchenyi István University, Győr, Hungary

    László T. Kóczy

  3. Department of Telecommunications and Mediainformatics, Budapest University of Technology and Economics, Győr, Hungary

    László T. Kóczy

Authors
  1. István Á. Harmati
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  2. László T. Kóczy
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Corresponding author

Correspondence to István Á. Harmati .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Harmati, I.Á., Kóczy, L.T. (2016). On the Sensitivity of Weighted General Mean Based Type-2 Fuzzy Signatures. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_19

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  • DOI: https://doi.org/10.1007/978-3-319-39378-0_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39377-3

  • Online ISBN: 978-3-319-39378-0

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