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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 82))

Abstract

Following Fullér and Zimmermann [135], we interpret fuzzy linear programming (FLP) problems with fuzzy coefficients and fuzzy inequality relations as multiple fuzzy reasoning schemes (MFR) , where the antecedents of the scheme correspond to the constraints of the FLP problem and the fact of the scheme is the objective of the FLP problem.

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© 2002 Springer-Verlag Berlin Heidelberg

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Carlsson, C., Fullér, R. (2002). Fuzzy Reasoning for Fuzzy Optimization. In: Fuzzy Reasoning in Decision Making and Optimization. Studies in Fuzziness and Soft Computing, vol 82. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1805-5_5

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  • DOI: https://doi.org/10.1007/978-3-7908-1805-5_5

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2497-1

  • Online ISBN: 978-3-7908-1805-5

  • eBook Packages: Springer Book Archive

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