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On the Intuitionistic Fuzzy Sets of n-th Type

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Book cover Advances in Data Analysis with Computational Intelligence Methods

Part of the book series: Studies in Computational Intelligence ((SCI,volume 738))

Abstract

A survey and new results, related to the intuitionistic fuzzy sets of n-th type are given. Some open problems are formulated.

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Acknowledgements

The authors are thankful for the support provided by the Bulgarian National Science Fund under Grant Ref. No. DFNI-I-02-5 “InterCriteria Analysis: A New Approach to Decision Making”.

Author information

Authors and Affiliations

  1. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., bl. 105, 1113, Sofia, Bulgaria

    Krassimir T. Atanassov & Peter Vassilev

  2. Intelligent Systems LaboratoryAsen Zlatarov University, 8010, Bourgas, Bulgaria

    Krassimir T. Atanassov

Authors
  1. Krassimir T. Atanassov
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  2. Peter Vassilev
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Corresponding author

Correspondence to Krassimir T. Atanassov .

Editor information

Editors and Affiliations

  1. Department of Medicine, Division of Nephrology and Hypertension, University of Louisville, Louisville, Kentucky, USA

    Adam E Gawęda

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

    Janusz Kacprzyk

  3. Institute of Computational Intelligence, Department of Mechanical Engineering and Computer Science, Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  4. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, Oklahoma, USA

    Gary G. Yen

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Atanassov, K.T., Vassilev, P. (2018). On the Intuitionistic Fuzzy Sets of n-th Type. In: Gawęda, A., Kacprzyk, J., Rutkowski, L., Yen, G. (eds) Advances in Data Analysis with Computational Intelligence Methods. Studies in Computational Intelligence, vol 738. Springer, Cham. https://doi.org/10.1007/978-3-319-67946-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-67946-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67945-7

  • Online ISBN: 978-3-319-67946-4

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