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On Discrete Preference Structures

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Technologies for Constructing Intelligent Systems 1

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 89))

Abstract

In this paper, we introduce and study discrete preference structures. Such structures are expressed on finite chains and arise in the context of ordinal or linguistic preference modelling. Two classes of discrete preference structures are identified and characterized.

This work has been supported in part by OTKA T025163, by FKFP 0051/2000, and by the Bilateral Scientific and Technological Cooperation Flanders—Hungary BIL00/51 (B-08/2000).

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References

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics Biometrics and Process Control Faculty of Agricultural and Applied Biological Sciences, Ghent University, Coupure links 653, B-9000, Gent, Belgium

    Bernard De Baets

  2. Department of Biomathematics and Informatics Faculty of Veterinary Science, Szent Istvân University, Istvân u. 2, H-1078, Budapest, Hungary

    János Fodor

Authors
  1. Bernard De Baets
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  2. János Fodor
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Editor information

Editors and Affiliations

  1. CNRS, LIP6, Université Paris VI, 8 rue du Capitaine Scott, 75015, Paris, France

    Bernadette Bouchon-Meunier

  2. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, 28660, Boadilla del Monte, Madrid, Spain

    Julio Gutiérrez-Ríos

  3. Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain

    Luis Magdalena

  4. Machine Intelligence Institute, Iona College, 10801, New Rochelle, NY, USA

    Ronald R. Yager

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© 2002 Springer-Verlag Berlin Heidelberg

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De Baets, B., Fodor, J. (2002). On Discrete Preference Structures. In: Bouchon-Meunier, B., Gutiérrez-Ríos, J., Magdalena, L., Yager, R.R. (eds) Technologies for Constructing Intelligent Systems 1. Studies in Fuzziness and Soft Computing, vol 89. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1797-3_15

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  • DOI: https://doi.org/10.1007/978-3-7908-1797-3_15

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-00329-9

  • Online ISBN: 978-3-7908-1797-3

  • eBook Packages: Springer Book Archive

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