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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2010: Artificial Intelligence and Soft Computing pp 232–239Cite as

On an Enhanced Method for a More Meaningful Ranking of Intuitionistic Fuzzy Alternatives

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

Abstract

We consider an approach for ranking alternatives represented by Atanassov’s intuitionistic fuzzy sets (A-IFSs) which takes into account not only the amount of information related to an alternative (expressed here by the normalized Hamming and the normalized Euclidean distances from the ideal positive alternative) but also the reliability of information (how sure the information is) expressed here by a so-called hesitation margin.

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Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01–447, Warsaw, Poland

    Eulalia Szmidt & Janusz Kacprzyk

  2. Warsaw School of Information Technology, ul. Newelska 6, 01-447, Warsaw, Poland

    Eulalia Szmidt & Janusz Kacprzyk

Authors
  1. Eulalia Szmidt
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  2. Janusz Kacprzyk
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź,, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics,, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA,  

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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Szmidt, E., Kacprzyk, J. (2010). On an Enhanced Method for a More Meaningful Ranking of Intuitionistic Fuzzy Alternatives. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_30

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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