Editors:
- Covers both fundamental and applied aspects of soft computing
- Presents soft computing as an important tool for developing next-generation intelligent digital devices
- Edited and written by leading researchers in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 317)
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Table of contents (29 chapters)
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Front Matter
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Decision-Making
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Front Matter
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Fuzziness and Probability
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Front Matter
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Fuzzy Recognition/Classification and Image Processing
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Front Matter
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Fuzzy Control, and Intelligent Monitoring
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Front Matter
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About this book
The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.
Editors and Affiliations
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Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA
Lotfi A. Zadeh
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Minister of Communications and Information Technologies of the Republic of Azerbaijan, Baku, Azerbaijan
Ali M. Abbasov
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Iona College, Machine Intelligence Institute, New Rochelle, USA
Ronald R. Yager
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Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan
Shahnaz N. Shahbazova
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Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
Marek Z. Reformat
Bibliographic Information
Book Title: Recent Developments and New Directions in Soft Computing
Editors: Lotfi A. Zadeh, Ali M. Abbasov, Ronald R. Yager, Shahnaz N. Shahbazova, Marek Z. Reformat
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-06323-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-06322-5Published: 03 July 2014
Softcover ISBN: 978-3-319-37527-4Published: 17 September 2016
eBook ISBN: 978-3-319-06323-2Published: 17 June 2014
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VIII, 466
Number of Illustrations: 146 b/w illustrations, 35 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence