FUZZY ALGORITHMS:WITH APPLNS TO... (V10)

FUZZY ALGORITHMS:WITH APPLNS TO... (V10)
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Artikel-Nr:
9789812830111
Veröffentl:
1996
Seiten:
240
Autor:
Zheru Chi
eBook Typ:
PDF
eBook Format:
Reflowable
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:


Contents:
  • Introduction:
    • Basic Concepts of Fuzzy Sets
    • Fuzzy Relations
    • Fuzzy Models for Image Processing and Pattern Recognition
  • Membership Functions:
    • Introduction
    • Heuristic Selections
    • Clustering Approaches
    • Tuning of Membership Functions
    • Concluding Remarks
  • Optimal Image Thresholding:
    • Introduction
    • Threshold Selection Based on Statistical Decision Theory
    • Non-fuzzy Thresholding Algorithms
    • Fuzzy Thresholding Algorithm
    • Unified Formulation of Three Thresholding Algorithms
    • Multilevel Thresholding
    • Applications
    • Concluding Remarks
  • Fuzzy Clustering:
    • Introduction
    • C-Means Algorithm
    • Fuzzy C-Means Algorithm
    • Comparison between Hard and Fuzzy Clustering Algorithms
    • Cluster Validity
    • Applications
    • Concluding Remarks
  • Line Pattern Matching:
    • Introduction
    • Similarity Measures between Line Segments
    • Basic Matching Algorithm
    • Dealing with Noisy Patterns
    • Dealing with Rotated Patterns
    • Applications
    • Concluding Remarks
  • Fuzzy Rule-based Systems:
    • Introduction
    • Learning from Examples
    • Decision Tree Approach
    • Fuzzy Aggregation Network Approach
    • Minimization of Fuzzy Rules
    • Defuzzification and Optimization
    • Applications
    • Concluding Remarks
  • Combined Classifiers:
    • Introduction
    • Voting Schemes
    • Maximum Posteriori Probability
    • Multilayer Perceptron Approach
    • Fuzzy Measures and Fuzzy Integrals
    • Applications
    • Concluding Remarks

Readership: Engineers and computer scientists.

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