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Anti-Entropy Resolving of Uncertainty of Estimations Within Scope of Intelligent DMSS

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  • Oleg Nikolaevich Dmitriev

    (Moscow Aviation Institute, Moscow, Russia)

Abstract

Considered as conceptual, mathematical and algorithmic ways to resolve uncertainty that occurs sporadically when there is a finite set of estimations of a dynamic trajectory of a quantitative characteristic value of an arbitrary length when various DMSS types are functioning. The consideration was limited to a case of non-discrete characteristics, while assuming that the information about the values of the extent of indetermination of those estimations is a priori known. In this article is formulated and solved for a complex problem task for the resolving of a respective uncertainty, which is conceptually and instrumentally complicated by a rigorous requirement to increase the reliability of the resultant estimation. This article proves the conceptual universality of the proposed procedure for the resolving of uncertainties. A deductively generated hypothesis as to mechanical applicability of the method is used on a case of a countable set of estimations.

Suggested Citation

  • Oleg Nikolaevich Dmitriev, 2019. "Anti-Entropy Resolving of Uncertainty of Estimations Within Scope of Intelligent DMSS," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 11(2), pages 48-71, April.
    • Handle: RePEc:igg:jdsst0:v:11:y:2019:i:2:p:48-71
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    Cited by:

    1. Zhao, Huiru & Li, Bingkang & Lu, Hao & Wang, Xuejie & Li, Hongze & Guo, Sen & Xue, Wanlei & Wang, Yuwei, 2022. "Economy-environment-energy performance evaluation of CCHP microgrid system: A hybrid multi-criteria decision-making method," Energy, Elsevier, vol. 240(C).

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