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Approaching Fuzzy Integer Linear Programming Problems

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Interactive Fuzzy Optimization

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 368))

Abstract

Integer Programming problems in which they exists some lack of precision of a vague nature in their formulation are considered. It is also provided a classification of this kind of problems, and a description for each of them is carried out. In particular, we focuse on the fuzzy boolean case for which a solution method is shown.

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Author information

Authors and Affiliations

  1. Departamento de Ciencias de la Computacion e Inteligencia Artificial, Universidad de Granada, 18071, Granada, Spain

    F. Herrera & J. L. Verdegay

Authors
  1. F. Herrera
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  2. J. L. Verdegay
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Trento, Via Inama 13, 38100, Trento, Italy

    Mario Fedrizzi

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

    Janusz Kacprzyk

  3. Institute of Mathematics, University of Liège, Avenue des Tilleuls (D1), 4000, Liège, Belgium

    Marc Roubens

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© 1991 Springer-Verlag Berlin Heidelberg

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Herrera, F., Verdegay, J.L. (1991). Approaching Fuzzy Integer Linear Programming Problems. In: Fedrizzi, M., Kacprzyk, J., Roubens, M. (eds) Interactive Fuzzy Optimization. Lecture Notes in Economics and Mathematical Systems, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45700-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-45700-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54577-4

  • Online ISBN: 978-3-642-45700-5

  • eBook Packages: Springer Book Archive

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