About this book
The book provides a sample of research on the innovative theory and applications of soft computing paradigms.
The idea of Soft Computing was initiated in 1981 when Professor Zadeh published his first paper on soft data analysis and constantly evolved ever since. Professor Zadeh defined Soft Computing as the fusion of the fields of fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory into one multidisciplinary system. As Zadeh said the essence of soft computing is that unlike the traditional, hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world. Thus, the guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality. In the final analysis, the role model for soft computing is the human mind.
We hope that the reader will share our excitement and find our volume both useful and inspiring.
Editors and affiliations
- Book Title New Concepts and Applications in Soft Computing
Valentina Emilia Balas
Annamária R. Várkonyi-Kóczy
- Series Title Studies in Computational Intelligence
- DOI https://doi.org/10.1007/978-3-642-28959-0
- Copyright Information Springer-Verlag Berlin Heidelberg 2013
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Engineering Engineering (R0)
- Hardcover ISBN 978-3-642-28958-3
- Softcover ISBN 978-3-642-44527-9
- eBook ISBN 978-3-642-28959-0
- Series ISSN 1860-949X
- Series E-ISSN 1860-9503
- Edition Number 1
- Number of Pages X, 222
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
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