Fuzzy logic and neural networks - Applications to analytical chemistry
A general overview about the usefulness of the theory of fuzzy sets for solving problems in the field of data analysis and analytical reasoning as well as for using neural networks for knowledge processing in analytical che- mistry is given. Recent results of the development of intel- systems for automated qualitative analysis in X-ray fluores- cence analysis and in ICP-atomic emission spectrosocopy are discussed.