ADAPTIVE GENETIC FUZZY SYSTEMS IN INDUSTRY: CURRENT FRAMEWORK AND NEW TRENDS
T Latinović, Miroslav Rogic, Milosav Djurdjevic · 2009
Adaptive genetic fuzzy systems are ability to solve different kinds of problems in various application domains. There is an increasing interest to mix fuzzy systems with learning and adaptation capabilities. Adaptive genetic fuzzy systems are very hybridizing the approximate reasoning method of fuzzy systems with the adaptive and evolutionary algorithms. Learning/optimization methods drawn from both fuzzy theory and genetic algorithms are used to find the optimal strategy. This paper provide an account of genetic fuzzy systems, with special attention to adaptive genetic fuzzy rule-based systems. After a brief introduction to models and applications of genetic fuzzy systems, critical evaluation is elaborated. The resulting expert system is an open system that uses frames, rules, fuzzy implication and connection matrices to produce a form of machine learning. Authors open questions for the future investigation of new trends in genetic fuzzy systems. Keywords: