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 |Pages: 24
DOI: 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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Localization Of Arising Special Situations Of Uncertainty Resolution By A Set Of Estimates In The Justification Of Management Decisions

Let us consider ways to formulate and to solve, in a justifiable way, a generalized problem for the resolving of uncertainties from elementwise found set of certain object state characteristics.

Let there be an abstract canonical management system that includes a management object and a managing system - DMSS. The nature of the system is not what matters; however, to make our construction more specific, let us assume that the system is a complex economic object.

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