Overview
- Focused on real applications of soft computing in decision support
- Areas covered are planning, management, finance and administration in both private and public sector
- Comprehensive coverage of decision support systems and successful applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 124)
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Table of contents (18 chapters)
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Front Matter
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General Issues
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Front Matter
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Applications and Implementations
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Front Matter
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Keywords
About this book
Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems. Fast advances in soft computing technologies, such as fuzzy logic and systems, artificial neural networks and evolutionary computation, have made available powerful problem representation and modelling paradigms, and learning and optimisation mechanisms for addressing modern decision making issues. This book provides a comprehensive coverage of up-to-date conceptual frameworks in broadly perceived decision support systems and successful applications. Different from other existing books, this volume predominately focuses on applied decision support with soft computing. Areas covered include planning, management finance and administration in both the private and public sectors.
Editors and Affiliations
Bibliographic Information
Book Title: Applied Decision Support with Soft Computing
Editors: Xinghuo Yu, Janusz Kacprzyk
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-37008-6
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-540-02491-0Published: 19 May 2003
Softcover ISBN: 978-3-642-53534-5Published: 26 July 2012
eBook ISBN: 978-3-540-37008-6Published: 06 December 2012
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 418
Number of Illustrations: 129 b/w illustrations
Topics: Engineering Economics, Organization, Logistics, Marketing, Mathematical and Computational Engineering, Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research/Decision Theory