A mathematical model for solving the problem of ranking of heterophase systems in conditions of uncertain state of ambient intelligence environment

The authors considered the application aspect of the problem of making operating decisions subject to the intellectual environment. They demonstrated that in the systems of ambient intelligence biological intelligence is unable to achieve the necessary speed of information processing. In the formation of such systems, ranking the information according to semantic and formal grounds comes to the forefront. The authors proposed linguistic approach for ranking complex systems under uncertainty conditions. We also presented mathematical model of the ranking system based on the use of fuzzy sets when formalizing expert judgements.