CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
ELEMENTS OF FUZZY-GRANULAR COMPUTING IN APPLICATION TO THE TASKS OF ANALYZING THE TECHNICAL RELIABILITY OF DISTRIBUTED DATA PROCESSING SYSTEMS
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Read | Mikhailichenko Anton V., Parashchuk Igor B ELEMENTS OF FUZZY-GRANULAR COMPUTING IN APPLICATION TO THE TASKS OF ANALYZING THE TECHNICAL RELIABILITY OF DISTRIBUTED DATA PROCESSING SYSTEMS // Caspian journal : management and high technologies. — 2022. — №1. — pp. 77-84. |
Mikhailichenko Anton V. - post-graduate student, Military Academy of Communications named after Marshal of the Soviet Union S.M. Budyonny, antoxa9111603538@gmail.com
Parashchuk Igor B - Doct. Sci. (Engineering), Professor, Military Academy of Communications named after Marshal of the Soviet Union S.M. Budyonny, shchuk@rambler.ru
The important features of the application of fuzzy-granular computational methods in the interests of analyzing the technical reliability of distributed data processing systems are investigated. Fuzzy-granular computing are aimed at clarifying (verifying) inaccurate, “noisy” fuzzy source data of large dimension necessary for solving such analysis problems. The stages, physical essence and mathematical aspects of approaches implementing information granulation and fuzzy-granular calculations are considered, allowing to level out the 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 application of the proposed fuzzy-granular methods in the practice of developers and research engineers will increase the objectivity of the initial data assignment both at the stage of synthesis of the system of technical reliability indicators and at the stage of formation of a mathematical model, which, ultimately, will increase the adequacy and accuracy of the reliability analysis of real complex information systems.
Key words: technical reliability, fuzzy-granular computing, fuzzy source data, method, analysis, distributed data processing system, indicator