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Wavelet fuzzy hybrid model for physico-financial signals

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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.
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Keywords: 42C15; 42C40; 62A86; 62J05; 62M10; 65D15; 65K10; fuzzy regression; physico-financial signals; time series; wavelet decomposition

Document Type: Research Article

Affiliations: 1: Computational Mathematics Laboratory, Department of Mathematics, Faculty of Sciences, 5019, Monastir, Tunisia 2: Department of Quantitative Methods, Faculty of Economic Sciences and Management, Sidi Messaoud, 5111 Hiboun Mahdia, Tunisia

Publication date: July 1, 2013

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