Abstract
The knowledge-based approach for complex systems assessment and forecasting is justified. Production systems of the form "object 0-state (as the system components) – process (system processes, status change operator or support) – object i-state (system)" are discussed along with the problems of the information support development for implementing the methodological foundation for the complex monitoring systems analysis. The basis for the information-entropy approach is determined for forming models for objects of study with the purpose of object analysis of the state of natural and technogenic origin systemic formations using knowledge-oriented data and generating new knowledge. The information system is shown for collecting and storing the status data of the object of study under monitoring, transmitting data to generate models, analyzing the results and making an informed decision.
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