Abstract
ABSTRACTIn this paper a close look is taken at the concepts of fuzzy clustering and fuzzy automata. In both instances fuzzy concepts are being applied to provide a medium level of intelligent behaviour in order to operate on and provide directives for low level control. The mean-tracking clustering algorithm which has been shown to be both computationally efficient and practically extremely useful, is explained and a fuzzy version of this is introduced. A direct link between fuzzy clustering and Radial Basis Function Neural Networks is then discussed and it is shown how, under certain circumstances, the two are in fact the same. Finally a new look is taken at fuzzy automata and their practical realisation.
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