ОПТИМИЗИРАНЕ НА БАЗА ОТ ПРАВИЛА С ГЕНЕТИЧНА РАЗМИТА СИСТЕМА
RULE BASE OPTIMIZATION WITH A GENETIC FUZZY SYSTEM

Author(s): Penka Georgieva, Ivan Popchev
Subject(s): Economy, ICT Information and Communications Technologies
Published by: Бургаски свободен университет
Keywords: hybrid systems; genetic fuzzy system; artificial intelligence
Summary/Abstract: This paper examines the concepts for designing and building a system that integrates the potential of fuzzy modeling with the capabilities of genetic algorithms in the process of finding optimal solutions. The rule-based genetic fuzzy system is a hybrid system that aims at optimizing the weight of the rules in the knowledge base of FSSAM. Some results from the optimization process are shown as an illustration of the system’s capabilities.

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