Abstract
Nowadays one can witness the development of fuzzy and neuro-fuzzy control systems going in two directions. The first one results in design of more sophisticated systems in traditional application areas such as home appliances, climate control, manufacturing as well as in advancement of the design theoretical knowledge. Another one constitutes an expansion of neuro-fuzzy control into new application fields in both engineering (telecommunications, first but not the least to mention) and non-engineering (business, social sciences) areas. The development of the second direction is very closely tied with an application of fuzzy methodology in data analysis and acquisition. One may note that both directions do not compete but complement each other.KeywordsMembership FunctionFuzzy LogicRadial Basis FunctionMedian ErrorFuzzy ControlThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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