Abstract
In this paper, the problems of decision-making in conditions of certainty and risk based on strict methods are considered. The classification of methods of decision theory is presented, taking into account the uncertainty and related subjectivity in evaluating decision options. Strict methods are considered, which include methods of mathematical optimization, or mathematical programming, designed to solve single- or multi-criteria problems of finding the optimal solution. Thus, based on computational experiments, we can conclude that strict methods are usually used in decision-making under conditions of certainty and possibly risk, heuristic methods in conditions of risk and uncertainty, and also if strict methods are practically impossible due to the large dimension of the cumbersome task computing.
First Page
77
Last Page
82
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Recommended Citation
Porubay, O.V.
(2020)
"DECISION-MAKING UNDER CONDITIONS OF DEFINITION AND RISK BASED ON STRICT METHODS,"
Chemical Technology, Control and Management: Vol. 2020:
Iss.
5, Article 15.
DOI: https://doi.org/10.34920/2020.5-6.77-82
