Computational Intelligence in Theory and Practice

Front Cover
Bernd Reusch, Karl-Heinz Temme
Springer Science & Business Media, Mar 20, 2013 - Computers - 262 pages
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 enable users from engineering, business, medicine and many more branches to capture and process vague, incomplete, uncertain and imprecise data and knowledge. Many algorithms and tools have been developed to solve problems in the realms of high and low level control, information processing, diagnostics, decision support, classification, optimisation and many more. This book tries to show the impact and feedback between theory and applications of Computational Intelligence, highlighted on selected examples.
 

Contents

Fuzzy Logic Theory
1
Optimization
15
Triangular Norms An Overview
34
R Mesiar 35
49
Rough Sets
55
Z Pawlak
73
Basis of Modal Logic
92
Fuzzy Clustering
126
Granular Computing in Fuzzy Modeling and Data
139
Evolutionary Computation and Mathematical
167
Genetic Optimization of Fuzzy Classification Systems
183
Fuzzy Data Models and Bases
201
Fuzzy Retrieval of ObjectOriented Software
221
Using Fuzzy Querying over the Internet to Browse
234
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