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Fuzzification via F-transform

Author

Listed:
  • Luciano Stefanini

    (Department of Economics, Society & Politics, Università di Urbino "Carlo Bo")

  • Maria Letizia Guerra

    (Department of Mathematics, University of Bologna)

Abstract

In this paper we show how a fuzzification process can benefit of the F-transform and possibility distributions.

Suggested Citation

  • Luciano Stefanini & Maria Letizia Guerra, 2013. "Fuzzification via F-transform," Working Papers 1310, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2013.
    • Handle: RePEc:urb:wpaper:13_10
    as

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    File URL: http://www.econ.uniurb.it/RePEc/urb/wpaper/WP_13_10.pdf
    File Function: First version, 2013
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    References listed on IDEAS

    as
    1. Schnabel, Sabine K. & Eilers, Paul H.C., 2009. "Optimal expectile smoothing," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4168-4177, October.
    2. Kovac, A., 2007. "Smooth functions and local extreme values," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 5155-5171, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Fuzzy numbers; Fuzzy transform.;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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