Multi-criterion fuzzy design of computing systems based on clustering
- 1 Dr. Sc. (Eng.), Professor, Department of Informatics and Computer Engineering, Ryazan State University named for S. Yesenin
- 2 Dr. Sc. (Eng.), Professor, Head of Department of Computer, Ryazan State Radio Engineering University
- 3 Ph. D. (Eng.), Associate Professor, Department of Informatics and Computer Engineering, Ryazan State University named for S. Yesenin
- 4 Head of Centre, Ryazan State University named for S. Yesenin
Keywords:
computing systemthe set-theoretic clusteringequivalence classeslinguistic variablesfuzzy multicriteria analysis and selection
Abstract
Proposed the set-theoretic clustering design of a computer system. Produced production modeling of knowledge rules of fuzzy structures in technical characteristic parameters: the number of computational modules, the amount of firmware memory, system performance, etc. Describes the algorithm «assessing the criterion value» and the algorithm «performance evaluation framework».
How to cite
Ручкин В.Н., Костров Б.В., Романчук В.А., Фулин В.А. Многокритериальный нечеткий выбор вычислительной структуры на основе кластеризации // Динамика сложных систем - XXI век. 2016. № 1. С. 33–40.
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