Solving the problem of selecting the best options for drones using approximation of equivalent vector estimates

The problem of choosing the best alternatives from a given set is considered. Each alternative is evaluated according to quality criteria. The alternatives must be ordered in order of preference. An algorithm has been developed that has made it possible to solve the problem of choosing the best drone model for observing the terrain at a given distance. To solve the problem of ranking drones, the developed method for choosing an algorithm for constructing an aggregated assessment of drones by criteria was used. The weight coefficients of the importance of the criteria were found by a method using information received from the decision maker about equivalent vector estimates of alternatives. The resulting solution to the optimal choice problem made it possible to rank the drones taking into account the importance of all quality criteria.