SYNTHESIS OF THE POSSIBILITIES LEVEL DETERMINATION DECISIONS SUPPORT SYSTEM OF UKRAINE ARMED FORCES DURING DEFENSE PLANNING
DOI:
https://doi.org/10.33099/2311-7249/2015-24-3-9-17Keywords:
difficult dynamic systems, combination method with the limited base of arguments, method of speed-up surplus of variants of arguments, algorithm of adaptive control by the difficult inertia system.Abstract
In the article is presented the general chart of researches conducting of decision the question of the prognostication difficult inertia system “Military Forces of Ukraine” state of the financing volumes depending. Thus the combination method with the limited base of arguments was developed, which unlike the known methods of regressive analysis, allows in the conditions of the limited data retrieval to build a mathematical model with the necessary quantity of arguments and necessary exactness; the method of speed-up surplus of arguments variants is developed, that unlike the method of full search allowed to shorten the number of arguments variants without the decline of efficiency of implementation of operation; got further development the mathematical description of the difficult dynamic systems, in which thanks to consideration of constituents of inertia process and application of the regressive analysis method, became possible to carry out the prognosis state of the difficult inertia system taking into account the prognosis of development of inertia processes which will pass in the system without interference with the process of subjective opinion of researcher; the system of criteria, which forms equalizations from the equalizations built by the regressive analysis method, is developed, that gave possibility to get equalizations with necessary descriptions: by sufficient exactness and high sensitiveness of prognostication results; the algorithm of adaptive control by the difficult inertia system is developed, that allowed effectively to forecast the state of the difficult inertia system and state of out of control factors which the state of the difficult inertia system relies on.References
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