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The Comparison of Approaches Used for Estimating Uncertain Probabilities

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  • Uzhga-Rebrov Oleg

    (Rezekne Higher Educational Institution)

  • Kuleshova, Galina

    (Riga Technical University)

Abstract

Probabilistic estimates are numerical representations of chances of random event occurrence. The classical theory of probability is based on the assumption that probabilistic estimates are deterministic. If available initial data are sufficient, this kind of estimates can be really obtained. However, when such data are not available, probabilistic estimates become uncertain. This paper analyses and compares three widespread approaches to modelling uncertain estimates and provides practical recommendations on their use.

Suggested Citation

  • Uzhga-Rebrov Oleg & Kuleshova, Galina, 2013. "The Comparison of Approaches Used for Estimating Uncertain Probabilities," Information Technology and Management Science, Sciendo, vol. 16(1), pages 131-136, December.
    • Handle: RePEc:vrs:itmasc:v:16:y:2013:i:1:p:131-136:n:20
    DOI: 10.2478/itms-2013-0020
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