Fuzzy Logic And Soft Computing


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Fuzzy Logic and Soft Computing


Fuzzy Logic and Soft Computing

Author: Bernadette Bouchon-Meunier

language: en

Publisher: World Scientific

Release Date: 1995


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Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning.This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.

Theoretical Advances and Applications of Fuzzy Logic and Soft Computing


Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

Author: Oscar Castillo

language: en

Publisher: Springer Science & Business Media

Release Date: 2007-10-10


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This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.

Learning and Soft Computing


Learning and Soft Computing

Author: Vojislav Kecman

language: en

Publisher: MIT Press

Release Date: 2001


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This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.