Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition

Abstract

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.