Networks of elementary fuzzy solvers for synthesizing and analyzing fuzzy data processing and control systems

Networks of elementary fuzzy solvers for synthesizing and analyzing fuzzy data processing and control systems

Vasil’ev, A.E., Giganova, V.I. (2014). Networks of elementary fuzzy solvers for synthesizing and analyzing fuzzy data processing and control systems. Journal of Computer and Systems Sciences International, 53 (6), pp. 808-818. DOI: 10.1134/S106423071405013X

Abstract

An approach for describing fuzzy data processing systems based on networks of elementary solvers of fuzzy logic functions that makes it possible to improve the quality and reduce the computational complexity of the analysis and synthesis of embedded control systems with fuzzy decision-making subsystems is proposed. Simulation of fuzzy network structures is considered and examples of their practical application are discusses.