Editors:
- First book with a comprehensive coverage of soft computing methods in various risk-related problems
- Presentation of new conceptual frameworks and new, sometimes less known tools and techniques
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 76)
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Table of contents (26 chapters)
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Front Matter
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Analysis of Evidence and Data
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Front Matter
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Risk in Decision Support and Control Systems
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Front Matter
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Risk in Energy and Environmental Systems
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Front Matter
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About this book
This is the first book in the literature that shows how soft computing methods (fuzzy logic, neural networks, genetic algorithms, etc.) can be employed to deal with various problems related to risk analysis, evaluation and management in various fields of technology, environment and finance.
Editors and Affiliations
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Belgian Nuclear Research Centre, Mol, Belgium
Da Ruan
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Janusz Kacprzyk
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Dipartimento di Informatica e Studi Aziendali, Universita degli Studi di Trento, Trento, Italy
Mario Fedrizzi
Bibliographic Information
Book Title: Soft Computing for Risk Evaluation and Management
Book Subtitle: Applications in Technology, Environment and Finance
Editors: Da Ruan, Janusz Kacprzyk, Mario Fedrizzi
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-7908-1814-7
Publisher: Physica Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Hardcover ISBN: 978-3-7908-1406-4
Softcover ISBN: 978-3-662-00348-0
eBook ISBN: 978-3-7908-1814-7
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: IX, 514
Topics: Finance, general, Quantitative Finance, Artificial Intelligence