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FULP-A PC-Supported Procedure for Solving Multicriteria Linear Programming Problems with Fuzzy Data

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Book cover Interactive Fuzzy Optimization

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

Abstract

This paper describes a PC-program for solving (multiobjective) fuzzy linear programming models. It is based on the interactive solution process FULPAL and support the decisionmaker in modelling the membership functions of fuzzy data, specifying the aspiration levels, constructing and solving the surrogate crisp LP-models.

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Author information

Authors and Affiliations

  1. Institute of Statistics and Mathematics, University of Frankfurt, Mertonstraße 17-25, D-6000, Frankfurt am Main, Germany

    Heinrich Rommelfanger

Authors
  1. Heinrich Rommelfanger
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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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Rommelfanger, H. (1991). FULP-A PC-Supported Procedure for Solving Multicriteria Linear Programming Problems with Fuzzy Data. 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_16

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  • DOI: https://doi.org/10.1007/978-3-642-45700-5_16

  • 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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