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Fuzzy Numbers and Consensus

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Soft Computing Applications for Group Decision-making and Consensus Modeling

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 357))

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Abstract

Often in a group of decision makers there is a considerable variability in the scores that decision makers assign to the alternatives. In this paper we represent this variability with fuzzy numbers. Moreover we present an algorithm for the achievement of consensus based on suitable fuzzy numbers, on preorder and order relations in sets of fuzzy numbers, and on a procedure to decrease the spreads.

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Author information

Authors and Affiliations

  1. Department of Architecture, University of Chieti-Pescara, Viale Pindaro 42, 65127, Pescara, Italy

    Antonio Maturo

  2. Accademia Pontaniana, 80100, Naples, Italy

    Aldo G. S. Ventre

Authors
  1. Antonio Maturo
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  2. Aldo G. S. Ventre
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Corresponding author

Correspondence to Antonio Maturo .

Editor information

Editors and Affiliations

  1. School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan

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

    Janusz Kacprzyk

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Maturo, A., Ventre, A.G.S. (2018). Fuzzy Numbers and Consensus. In: Collan, M., Kacprzyk, J. (eds) Soft Computing Applications for Group Decision-making and Consensus Modeling. Studies in Fuzziness and Soft Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-60207-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-60207-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60206-6

  • Online ISBN: 978-3-319-60207-3

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