Fuzzy algorithms : with applications to image processing and pattern recognition
Author(s)
Bibliographic Information
Fuzzy algorithms : with applications to image processing and pattern recognition
（Advances in fuzzy systems : applications and theory, v. 10）
World Scientific Pub., c1996
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
- 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.
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