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New Approaches for the Comparison of L-R Fuzzy Numbers : a Theoretical and Operational Analysis

Author

Listed:
  • Matarazzo, B.
  • Munda, G.

Abstract

A key issue multicriteria evaluation in a fuzzy environment is how to compare fuzzy numbers. In this paper, the case of criterion scores in the form of L-R fuzzy numbers, i.e. the most general form of fuzzy numbers, will be considered.

Suggested Citation

  • Matarazzo, B. & Munda, G., 1996. "New Approaches for the Comparison of L-R Fuzzy Numbers : a Theoretical and Operational Analysis," UFAE and IAE Working Papers 346.96, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    • Handle: RePEc:aub:autbar:346.96
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    Citations

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    Cited by:

    1. Munda, Giuseppe, 2009. "A conflict analysis approach for illuminating distributional issues in sustainability policy," European Journal of Operational Research, Elsevier, vol. 194(1), pages 307-322, April.
    2. Giuseppe Munda, 2012. "Intensity of preference and related uncertainty in non-compensatory aggregation rules," Theory and Decision, Springer, vol. 73(4), pages 649-669, October.
    3. Y. L. Zheng & S. L. Nie & H. Ji & Z. Hu, 2013. "Application of a Fuzzy Programming Through Stochastic Particle Swarm Optimization to Assessment of Filter Management Strategies in Fluid Power System Under Uncertainty," Journal of Optimization Theory and Applications, Springer, vol. 157(1), pages 276-286, April.

    More about this item

    Keywords

    DECISION MAKING; INFORMATION;

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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