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Logic of Interval Uncertainty

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  • Evgeny Kuzmin

Abstract

The scientific category of uncertainty refers to that group of terms, an interpretation of which is not unambiguous and exact. In non-eliminability of the category soft content barrier there is an objective transition to the interval uncertainty. This research is an attempt to solve the issue of estimating the interval uncertainty based on methods of a logical analysis and a comparison. The approach presented by the paper is opposed to known methods of a mechanical selection of values following a given function. In the course of the research, there has been introduced a concept of the “tenversion uncertainty†for scientific use. Overall results obtained from the research allow calculating values of the interval uncertainty and assess their quality. The scientific competency of methods is achieved in theoretically tested solutions.

Suggested Citation

  • Evgeny Kuzmin, 2014. "Logic of Interval Uncertainty," Modern Applied Science, Canadian Center of Science and Education, vol. 8(5), pages 152-152, October.
    • Handle: RePEc:ibn:masjnl:v:8:y:2014:i:5:p:152
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    References listed on IDEAS

    as
    1. Guo, Peijun & Tanaka, Hideo, 2010. "Decision making with interval probabilities," European Journal of Operational Research, Elsevier, vol. 203(2), pages 444-454, June.
    2. James C. Spall, 2002. "Uncertainty Bounds in Parameter Estimation with Limited Data," International Series in Operations Research & Management Science, in: Moshe Dror & Pierre L’Ecuyer & Ferenc Szidarovszky (ed.), Modeling Uncertainty, chapter 0, pages 685-709, Springer.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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