Applied Decision Support with Soft Computing [electronic resource] /

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.

Bibliographic Details

Main Authors:	Yu, Xinghuo. editor., Kacprzyk, Janusz. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003
Subjects:	Engineering., Operations research., Decision making., Applied mathematics., Engineering mathematics., Engineering economics., Engineering economy., Economic theory., Engineering Economics, Organization, Logistics, Marketing., Appl.Mathematics/Computational Methods of Engineering., Economic Theory/Quantitative Economics/Mathematical Methods., Operation Research/Decision Theory.,
Online Access:	http://dx.doi.org/10.1007/978-3-540-37008-6
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