 Anti-Entropy Resolving of Uncertainty of Estimations Within Scope of Intelligent DMSSOleg Nikolaevich Dmitriev
International Journal of Decision Support System Technology (IJDSST), 2019, vol. 11, issue 2, 48-71 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. Date: 2019 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:11:y:2019:i:2:p:48-71 Access Statistics for this article International Journal of Decision Support System Technology (IJDSST) is currently edited by Shaofeng Liu More articles in International Journal of Decision Support System Technology (IJDSST) from IGI Global |
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