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A Parametric Interval Approximation of Fuzzy Numbers

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Soft Computing in Computer and Information Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 342))

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Abstract

In this paper we present a parametric formulation of interval approximation of fuzzy numbers. It is based on a more complex version of generalized Trutschnig et al. distance. General conclusions are showed and particular cases are studied in details.

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Authors and Affiliations

  1. Department of Management, Economics, Mathematics and Statistics, University of Salento, Lecce, Italy

    Luca Anzilli & Gisella Facchinetti

Authors
  1. Luca Anzilli
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  2. Gisella Facchinetti
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Corresponding author

Correspondence to Luca Anzilli .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

    Antoni Wiliński

  2. West Pomeranian University of Technology, Szczecin, Poland

    Imed El Fray

  3. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

    Jerzy PejaÅ›

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Anzilli, L., Facchinetti, G. (2015). A Parametric Interval Approximation of Fuzzy Numbers. In: Wiliński, A., Fray, I., Pejaś, J. (eds) Soft Computing in Computer and Information Science. Advances in Intelligent Systems and Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-15147-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-15147-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15146-5

  • Online ISBN: 978-3-319-15147-2

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