Applied Decision Support with Soft Computing
By: edited by Xinghuo Yu, Janusz Kacprzyk
Contributors: Kacprzyk, Janusz
Series: Studies in Fuzziness and Soft Computing -- 124; Studies in fuzziness and soft computing -- 124.
Publisher: Springer Berlin Heidelberg
Published: 2003
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 418
ISBN-13: 9783642535345; 9783540370086
Subjects: Engineering; Economics; Engineering mathematics; Engineering economy
Description: 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.
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