Simulation of Intelligent Air Transportation Management System Based upon Entropy Approach

The paper is devoted to the computer modeling for the optimal governing of the intelligent air transportation management system. The performed computer simulation is based upon the initial postulate of the subjective entropy maximum principle developed for the active systems control. The research and calculation experimentations are conducted for both losses (“harmfulness”) and utilities (“usefulness”) functions. It is discovered the important phenomenon unknown before, which is the shape of the phase diagrams for the preferences over the losses functions. Another novelty and significance of the findings related to the preference functions and entropy are that the conditional optimization of the subjective individuals' preferences functions entropy in conjunction with the proposed hybrid combined relative pseudo-entropy function helps determine the relative certainty/uncertainty degree concerning prevailing/dominating subjective preferences functions.