Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition

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