Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications

✍ Scribed by Lotfi A. Zadeh (auth.), Okyay Kaynak, Lotfi A. Zadeh, Burhan Türkşen, Imre J. Rudas (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1998
• Tongue: English
• Leaves: 551
• Series: NATO ASI Series 162
• Edition: 1
• Category: Library

✦ Synopsis

Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.

✦ Table of Contents

Front Matter....Pages I-IX
Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Information/Intelligent Systems....Pages 1-9
Computational Intelligence Defined - By Everyone !....Pages 10-37
Computational Intelligence: Extended Truth Tables and Fuzzy Normal Forms....Pages 38-59
Uncertainty Theories by Modal Logic....Pages 60-79
Sup-T Equations: State of the Art....Pages 80-93
Measures of Specificity....Pages 94-113
What’s in a Fuzzy Membership Value?....Pages 114-127
New Types of Generalized Operations....Pages 128-156
Intelligent Fuzzy System Modeling....Pages 157-176
Fuzzy Inference Systems: A Critical Review....Pages 177-197
Fuzzy Decision Support Systems....Pages 198-229
Neuro-Fuzzy Systems....Pages 230-259
Fuzzified Petri-Nets and Their Application to Organising Supervisory Controller....Pages 260-282
A Review of Neural Networks with Direct Learning Based on Linear or Non-Linear Threshold Logics....Pages 283-303
The Morphogenetic Neuron....Pages 304-332
Boolean Soft Computing by Non-linear Neural Networks With Hyperincursive Stack Memory....Pages 333-351
Using Competitive Learning Models for Multiple Prototype Classifier Design....Pages 352-380
Fuzzy Data Analysis....Pages 381-402
Probabilistic and Possibilistic Networks and How To Learn Them from Data....Pages 403-426
Image Pattern Recognition Based on Fuzzy Technology....Pages 427-433
Fuzzy Sets and the Management of Uncertainty in Computer Vision....Pages 434-449
Intelligent Robotic Systems Based on Soft Computing—Adaptation, Learning and Evolution....Pages 450-481
Hardware and Software Architectures for Soft Computing....Pages 482-495
Fuzzy Logic Control for Design and Control of Manufacturing Systems....Pages 496-513
Applications of Intelligent Multiobjective Fuzzy Decision Making....Pages 514-520
A Product Life Cycle Information Management System Infrastructure with CAD/CAE/CAM, Task Automation, and Intelligent Support Capabilities....Pages 521-538
Back Matter....Pages 539-542

✦ Subjects

Artificial Intelligence (incl. Robotics);Pattern Recognition;Computation by Abstract Devices;Processor Architectures;Computer-Aided Engineering (CAD, CAE) and Design;Complexity