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Computational Intelligence in Theory and Practice Book

Computational Intelligence in Theory and Practice
Computational Intelligence in Theory and Practice, Computational Intelligence with its roots in Fuzzy Logic, Neural Networks and Evolutionary Algorithms has become an important research and application field in computer science in the last decade. Methodologies from these areas and combinations of them en, Computational Intelligence in Theory and Practice has a rating of 4 stars
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Computational Intelligence in Theory and Practice, Computational Intelligence with its roots in Fuzzy Logic, Neural Networks and Evolutionary Algorithms has become an important research and application field in computer science in the last decade. Methodologies from these areas and combinations of them en, Computational Intelligence in Theory and Practice
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Digital Copy
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  • Computational Intelligence in Theory and Practice
  • Written by author K. H. Temme
  • Published by Springer-Verlag New York, LLC, March 2001
  • Computational Intelligence with its roots in Fuzzy Logic, Neural Networks and Evolutionary Algorithms has become an important research and application field in computer science in the last decade. Methodologies from these areas and combinations of them en
  • Computational Intelligence with its roots in Fuzzy Logic, Neural Networks and Evolutionary Algorithms has become an important research and application field in computer science in the last decade. Methodologies from these areas and combinations of them en
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Preface
Contents
1Fuzzy Logic Theory
A Fuzzy Set Approach to Case-Based Decision1
Proof Theory of Many-Valued Logic and Linear Optimization15
Triangular Norms - An Overview35
2Rough Sets
A First View on the Alternatives of Fuzzy Set Theory55
Rough Sets and their Applications73
Generalizing the Explicit Concept of Rough Set on the Basis of Modal Logic93
3Fuzzy Clustering
Probalistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers121
Granular Computing in Fuzzy Modeling and Data Mining139
Evolutionary Computation and Mathematical Programming167
Genetic Optimization of Fuzzy Classification Systems - A Case Study183
4Fuzzy Data Models and Bases
Graduality and Databases: Some Contributions of Fuzzy Sets201
Fuzzy Retrieval of Object-Oriented Software Components221
Using Fuzzy Querying over the Internet to Browse through Information Resources235


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