Introduction: Fuzzy sets; probability and fuzziness; fuzzy models. Membership functions: heuristic selections; clustering approaches; adjustment and toning; applications; concluding remarks. Fuzzy clustering: clustering and fuzzy partition; fuzzy c-means algorithm; fuzzy cohonen clustering networks; cluster validity and optimal fuzzy clustering; applications; concluding remarks. Fuzzy rules and defuzzification: rules based on experience; learning from examples; decision tree approach; neural network approach; minimization of fuzzy rules; defuzzification and optimization; applications; concluding remarks. Fuzzy classifiers: fuzzy nearest neighbour classifier; fuzzy multilayer perceptron; fuzy decision trees; fuzzy string matching; applications; concluding remarks. Combined clasifications: introduction; voting schemes; maximum poteriori probability; Dempster-Shafer evidence theory; trained perceptron neural networks; applications; concluding remarks.
