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Imprecision and Uncertainty in Information Representation and Processing pp 159–175Cite as

On the TOPSIS-Class Methods in the Intuitionistic Fuzzy Environment

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 332))

Abstract

TOPSIS is one of the basic methods of multicriteria decision aid. In the paper a classical algorithm TOPSIS and its analogies in the intuitionistic fuzzy environment are presented. The application of intuitionistic fuzzy implication for a new solution of some step in the method is given. The comments about the new conversion of the input decision matrix due to the criteria validity are given. The illustrative example is given.

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Notes

  1. 1.

    The publication from 1983 was first but IFS became widely known after the publication [3].

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Authors and Affiliations

  1. The Great Poland University of Social and Economics, Środa Wielkopolska, Poland

    Piotr Dworniczak

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  1. Piotr Dworniczak
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Correspondence to Piotr Dworniczak .

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Editors and Affiliations

  1. School of Computing and Communications, Lancaster University Bailrigg, Lancaster, United Kingdom

    Plamen Angelov

  2. Intelligent Systems Laboratory, Prof. Assen Zlatarov University, Bourgas, Bulgaria

    Sotir Sotirov

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Dworniczak, P. (2016). On the TOPSIS-Class Methods in the Intuitionistic Fuzzy Environment. In: Angelov, P., Sotirov, S. (eds) Imprecision and Uncertainty in Information Representation and Processing. Studies in Fuzziness and Soft Computing, vol 332. Springer, Cham. https://doi.org/10.1007/978-3-319-26302-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-26302-1_11

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  • Online ISBN: 978-3-319-26302-1

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