This text deals with the subject of fuzzy algorithms and their applications to image processing and pattern recognition. Subjects covered include membership functions; fuzzy clustering; fuzzy rulers and defuzzification; fuzzy classifiers; and combined classifiers.
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.
