VAGUENESS AND PRAXEOLOGICAL ASPECTS OF OPTIMIZATION OF FIRE-RESCUE MACHINERY EXPLOITATION CHARACTERISTICS
Authors: Hashchuk P. 
Published: August 2020

The technology of improvement and parametric optimization of fire-rescue machinery has been researched based on the most general principles. Means and possible capacities of physics, legal proceedings, evolution and engineering are paralelly considered in terms of the methodology of indefiniteness problem solutions. It should be highlighted that the improvement of systems or machinery is a permanent decision making process, i.e. the process that has its start but has no end. It means that it is impossible for absolutely ideal system or machine to appear. The improvement of machinery rests upon teleology, but in fact it resembles evolution where there is no space for the categories of mind, design, perfection. Thus the optimization activity must rest on both teleological and evolutionary principles.
The aim of this paper is to define the principles that allow to stream the process of parametric optimization of the system/machine (in particular in the field of fire-rescue machinery) into the praxeological direction simultaneously relying on teleology and evolutionary as well as rationally relate and connect meaningful, algorithmical and general criteria defining means into a single system.
The tasks to be solved include the following: first of all to define the types of insurmountable uncertainties, to evaluate the sense of optimization process concerning the system or machinery drawing a parallel with the natural selection, critically delineate the most general aspects of methodology of parametric or any other optimization of the system/machinery according to the criteria of random content, to determine what level of optimization situation preciseness should be dealt with theoretically and practically.
The problem of improving the system of rescue machine and some of its operational characteristics in general is so difficult that we cannot solve it without methodological and cognitive specialization. The conducted research represents the development of the scenario of coordinating three different groups, two of which carry out the optimization activity according to their specialization whereas the third one is responsible for assessment and introduction of optimal propositions. It has been demonstrated that the optimal propositions can turn out to be incompatible which resulted in the necessity to reasonably correlate all concepts and aspects of optimality and excellence.
It has been also clarified the following:

The identification of system characteristics that are subjected to optimization is always approximate, the indicator (criterion) is always subjectively vague, the instruments to find perfection are not impeccable. It means that the progression to the perfection should be made discreetly, critically analysing the results obtained and every time following the new criteria.
It is not obligatory to endeavour for ideal solution. It is necessary to avoid blunders and implement only the most favourable decisions, since the achieved results can be evaluated only after the fact. Mistakes and losses should be negligible but numerous to benefit from them.
The application of complex and perfect methods of optimization to a wrong formalized object such as a fire-rescue machine is a vain cognitive activity. It is time and resources consuming, effortless, senseless and often leads to loss of prestige.
A certain result of scientific research is inconsiderable as such. Really valuable is the algorithm and technology of its achieving, theoretical/cognitive meaningfulness of its essence.