Petrov S. Information technology process analysis and synthesis of adaptive knowledge control system

Subject of the research are automated knowledge control processes; a work purpose is increasing of functional effectiveness KCS, based on the new informational technology of their analysis and synthesis, and granting them an adaptability; research methods are based on heuristic methods of design and functioning theory of intellectual DMSS, pattern recognition theory; theoretical results: for the first time there was developed new information technology for process analysis and synthesis self-learning during cluster-analysis system, involved functional effectiveness evaluation procedure, categorical models, evaluation criteria and parameters optimization algorithms; for the first time was proposed method of capacity determination and forming equivalent test selections from the given set, knowledge level evaluation method based on DMSS; Practical results based on the generalization of well-known new scientifically results, there was formulated a new informational technology of adaptive KCS analysis and synthesis; the method of minimal test questions capacity by the generalized Kuzmіn criteria. General results were implemented as models, methods, algorithms, application packages and frame classes for solving practical KCS tasks, that is confirmed by the act of its implementation at Sumy State University, at applied physics institute of Ukraine NAS, LLC "Netcracker".