THE TASK OF ANALYZING THE TECHNICAL RELIABILITY OF DISTRIBUTED INFORMATION PROCESSING SYSTEMS USING FUZZY-GRANULAR METHODS
Some key features of the application of fuzzy granular computational methods in the interests of analyzing the technical reliability of distributed information processing systems are considered. These methods are aimed at clarifying (verifying) inaccurate, "noisy" fuzzy source data of large dimension necessary for solving such analysis tasks. They include mathematical approaches that implement information granulation and fuzzy granular calculations, which make it possible to level out fuzziness, "noise", disorder and informality in the formation of initial data for modeling and current evaluation of the parameters of technical reliability of systems of this class. The practical application of the proposed fuzzy granular methods will increase the objectivity of the assignment of these initial data both at the stage of synthesis of the system of indicators of technical reliability and at the stage of formation of a mathematical model, which ultimately serves to increase the adequacy and accuracy of the reliability analysis of real complex information systems.