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

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

Oleg Nikolaevich Dmitriev
Copyright: © 2019 |Volume: 11 |Issue: 2 |Pages: 24
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781522565413|DOI: 10.4018/IJDSST.2019040104
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MLA

Dmitriev, Oleg Nikolaevich. "Anti-Entropy Resolving of Uncertainty of Estimations Within Scope of Intelligent DMSS." IJDSST vol.11, no.2 2019: pp.48-71. http://doi.org/10.4018/IJDSST.2019040104

APA

Dmitriev, O. N. (2019). Anti-Entropy Resolving of Uncertainty of Estimations Within Scope of Intelligent DMSS. International Journal of Decision Support System Technology (IJDSST), 11(2), 48-71. http://doi.org/10.4018/IJDSST.2019040104

Chicago

Dmitriev, Oleg Nikolaevich. "Anti-Entropy Resolving of Uncertainty of Estimations Within Scope of Intelligent DMSS," International Journal of Decision Support System Technology (IJDSST) 11, no.2: 48-71. http://doi.org/10.4018/IJDSST.2019040104

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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.

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