Trokhymchuk S. Knowledge oriented intellectual methods and models of complex systems analysis

The thesis is devoted to development of new knowledge oriented intellectual methods and models of complex systems analysis which operate under conditions of uncertainty and restrictions on the material resources. Object of researching is the knowledge oriented processes in complex systems. A new implementation method of intellectual quality control processes of products in complex systems has been offered. Considered a new hybrid model based on integration of advanced probabilistic and fuzzy Petri net, modified knowledge-based fuzzy production rules and artificial neural networks. The method of operational data analysis has got further development, which allows operating with both probabilistic estimation and fuzzy initial data of Mamdani or Takagi - Sugeno - Kang fuzzy inference. The hybrid process model has got further development, which operates in fuzzy state space and additionally includes modules of adaptation and analysis of testing functions. The obtained theoretical results have been justified, investigated and introduces into production, where they showed their importance and advantages over the known solutions.