Basic Theoretical Provisions of Entropy Approach for Intelligent Air Transportation Management

The paper is dedicated to the elaboration of the principal theoretical provisions for the optimal governing of the intelligent air transportation management system. Subjective entropy maximum principle developed for active systems control is an initial postulate. The optimization theory of the subjective individuals’ preferences is the working hypothesis. Based upon the Jaynes’ principle of the entropy maximum the preferences functions are being found in the explicit view. Conditional optimization of the subjective preferences functions entropy, as the uncertainty measure modeling the available operational multi-alternativeness, allows organizing some rational air transportation system’s managerial efforts. Illustrative example simulation is performed. Necessary diagrams are plotted.