L.Е. Mistrov1, E.М. Shepovalov2

1 VUNC VVS «VVA», Central branch of RGUP (Voronezh, Russia)
2 VUNC VVS «VVA» (Voronezh, Russia)

The basis for the training of aircraft crews is the solution of a finite set of training tasks modeled using aviation multifunction simulators (AMT). To develop a model of multi-criteria choice of solutions for an individual and the entire set of educational tasks, its structural and parametric synthesis is carried out on the basis of the optimal distribution of AMT hardware and software resource for modeling various factors and conditions of information processes during educational tasks. Their solution is based on the search for optimal options on the set of branching and / or repeating information flows in the form of a set of elementary operations on the set of performance criteria, taking into account the principles and preferences of instructors - decision makers. The choice of a solution is carried out by summarizing single-criteria schemes for solving a particular educational problem using the Bellman principle and building on their basis a model of multi-criteria selection (MVR).

The basis of the generalized MVR is the representation of AMT in the form of a directed graph in which the vertices characterize the learning tasks, and the arcs determine the possible solutions to them in the form of a certain set of elementary operations with optimal weight vectors connecting the initial and final vertices. The essence of the model is the sequential combination of the paths of elementary operations taking into account the integrity of the presentation of the educational task and the narrowing of their number through the selection function implemented using the dominance and blocking algorithms in the binary relation, which has the property of transitivity and asymmetry. The choice of a generalized solution is carried out on the basis of Pareto optimal solutions, constructed by extrapolation of expert estimates of decision-makers on a cone of preferences for various situations related to computer computing capabilities. The generalized solution of the MVR substantiation problem is based on the selection of optimal routing routes for elementary operations on the set of multidisciplinary training tasks solved by AMT.

Mistrov L.E., Shepovalov E.M. Structural-parametric synthesis of the model of multi-criteria optimization of the solution of training problems with an aviation multifunctional simulator. Achievements of modern radioelectronics. 2022. V. 76. № 2. P. 43–51. DOI: https://doi.org/10.18127/j20700784-202202-05 [in Russian]

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