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Wavelet fuzzy hybrid model for physico-financial signals

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  • Anouar BenMabrouk
  • Olfa Zaafrane

Abstract

In the present paper, a fuzzy logic-based method is combined with wavelet decomposition to develop a step-by-step dynamic hybrid model to analyze and approximate one-dimensional physico-financial signals characterized by fuzzy values. Computational tests based on a well-known signal and conducted with the pure fuzzy model, the wavelet one and the new hybrid model, are developed and result in an efficient hybrid one.

Suggested Citation

  • Anouar BenMabrouk & Olfa Zaafrane, 2013. "Wavelet fuzzy hybrid model for physico-financial signals," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(7), pages 1453-1463, July.
    • Handle: RePEc:taf:japsta:v:40:y:2013:i:7:p:1453-1463
    DOI: 10.1080/02664763.2013.786690
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    Cited by:

    1. Majed S. Balalaa & Anouar Ben Mabrouk & Habiba Abdessalem, 2021. "A Wavelet-Based Method for the Impact of Social Media on the Economic Situation: The Saudi Arabia 2030-Vision Case," Mathematics, MDPI, vol. 9(10), pages 1-21, May.

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