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The paper suggests a new approach to create online decision support systems (ODSSs) to control distributed cyber-physical systems (DCPSs). We consider ODSSs which are based on applying hierarchical fuzzy situational networks together with fuzzy mathematical programming and fuzzy logical inference. These methods allow one to make efficient decisions in the conditions of dynamically changing external factors. The conceptual principles to create ODSSs are provided. The generalized algorithm of ODSS' functioning is developed. As a case study we consider a multi-service communication network which is a communication basis of DCPSs and one of the most complicated subsystem operating with fuzzy data. The performed evaluation of the proposed approach demonstrates its significant gain in comparison with known statistical methods and methods based on the application of reference situations. Based on the results of the evaluation, the structure of intelligent agents' software implementing ODSS for DCPSs is developed.
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