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Fuzzy Logic with Linguistic Quantifiers in Group Decision Making

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An Introduction to Fuzzy Logic Applications in Intelligent Systems

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 165))

Abstract

We present how fuzzy logic with linguistic quantifiers, mainly its calculi of linguistically quantified propositions, can be used in group decision making. Basically, the fuzzy linguistic quantifiers (exemplified bymost, almost all,...) are employed to represent a fuzzy majority which is in many cases closer to a real human perception of the very essence of majority. Fuzzy logic provides here means for a formal handling of such a fuzzy majority which was not possible by using traditional formal apparata. Using a fuzzy majority, and assuming fuzzy individual and social preference relations, we redefine solution concepts in group decision making, and present new «soft» degrees of consensus.

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Author information

Authors and Affiliations

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

    Janusz Kacprzyk

  2. Institute of Informatics, University of Trento, Via Rosmini 42, 38100, Trento, Italy

    Mario Fedrizzi

  3. Department of Political Science, University of Turku, SF - 20500, Turku, Finland

    Hannu Nurmi

Authors
  1. Janusz Kacprzyk
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  2. Mario Fedrizzi
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  3. Hannu Nurmi
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Editor information

Editors and Affiliations

  1. Iona College, USA

    Ronald R. Yager

  2. University of California, Berkeley, USA

    Lotfi A. Zadeh

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© 1992 Springer Science+Business Media New York

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Kacprzyk, J., Fedrizzi, M., Nurmi, H. (1992). Fuzzy Logic with Linguistic Quantifiers in Group Decision Making. In: Yager, R.R., Zadeh, L.A. (eds) An Introduction to Fuzzy Logic Applications in Intelligent Systems. The Springer International Series in Engineering and Computer Science, vol 165. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3640-6_13

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  • DOI: https://doi.org/10.1007/978-1-4615-3640-6_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6619-5

  • Online ISBN: 978-1-4615-3640-6

  • eBook Packages: Springer Book Archive

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