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Application Of Fuzzy Calculation Methodology To Check The Correctness Of Forecast Calculations Of Financial Return In A Global Context


  • Bogdan ANDRONIC

    () (PhD. University Professor, Danubius University of Galati, Department of Economics)


Fuzzy set theory is circumscribed to the need to broaden the scope of classical mathematics meaning poten-tiation possibilities of mathematical modeling of real world systems. One can appreciate that the nature of reality and our way of thinking and the symbolism of interpersonal communication languages are also sources of uncertainty, imprecision, vagueness, ambiguity. The imperative of handling properties not necessarily "perfect determinable", namely "vaguely defined" (but with a measurable degree of uncertainty) has led to the imposition of fuzzy sets theory, which proved to be the systematic frame suitable to management of ambiguity and imprecision. Using fuzzy numbers involves some difficulties (related for example to the relaxation of equalities relative to invertible elements) that could be surpassed by using fuzzy numbers characterizing through families of "confidence intervals".

Suggested Citation

  • Bogdan ANDRONIC, 2012. "Application Of Fuzzy Calculation Methodology To Check The Correctness Of Forecast Calculations Of Financial Return In A Global Context," EuroEconomica, Danubius University of Galati, issue 3(31), pages 55-65, August.
  • Handle: RePEc:dug:journl:y:2012:i:3:p:55-65

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    References listed on IDEAS

    1. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "The Aftermath of Financial Crises," American Economic Review, American Economic Association, vol. 99(2), pages 466-472, May.
    2. James Crotty, 2009. "Structural causes of the global financial crisis: a critical assessment of the 'new financial architecture'," Cambridge Journal of Economics, Oxford University Press, vol. 33(4), pages 563-580, July.
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