Olar O. Diagnosis of computer means based on intelligent methods and models of knowledge processing

The object of research - the process of diagnosing computer as components of computer systems research objective - to improve the process of diagnosing the stage of computer use by developing intelligent methods and models of knowledge and development of knowledge bases system diagnosis methods and equipment - analytical, experimental, theoretical and practical results - developed predictive models and develop knowledge in knowledge bases diagnosing systems, introduced a repository of knowledge specialization "Intelligent diagnostics microprocessor components"; novelty – а generalized formal model of predictive diagnostic computer means, the essence of which is a formation based on alternative models and arrays of diagnostic knowledge that as a result increases the efficiency of diagnosis, first proposed predictive processing knowledge, the novelty of which lies in the detection of Hasse diagram based on the rules of the higher level of abstraction (metarule) and dependencies between subsets of attributes that made it possible to eliminate sub-definite knowledge bases in systems diagnosis method for improved representation of diagnostic information about the process of predictive computer tools in diagnosis of conditions such individual objects and diagnosis availability of resources, allowing the process to unify predictive diagnosis came the further development of method for constructing classes in the taxonomy of the formation of abstract structure of classes, which made it possible to detect incompleteness descriptions subject area and refine the concept when there are new diagnostic information.