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Intelligent Decision-making Support Systems: Foundations, Applications and Challenges (Decision Engineering)

Springer

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ISBN 10: 1846282284 / ISBN 13: 9781846282287
Published by Springer, 2006
Used Condition: Good Hardcover
From Books Express (Portsmouth, NH, U.S.A.)

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Bibliographic Details

Title: Intelligent Decision-making Support Systems:...

Publisher: Springer

Publication Date: 2006

Binding: Hardcover

Book Condition:Good

Edition: 2006.

About this title

Synopsis:

This book will be bought by researchers and graduates students in Artificial Intelligence and management as well as practising managers and consultants interested in the application of IT and information systems in real business environment.

From the Back Cover:

Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes. Recent advances in information technology and artificial intelligence are enhancing these systems and giving rise to intelligent-DMSS.

Intelligent Decision-making Support Systems: Foundations, Applications and Challenges is the first book to provide integrated coverage of the technical aspects of intelligent Decision-Making Support Systems together with discussion of their application and evaluation in organisational structures.

The book brings together up-to-date information on the theory and application of i-DMSS. Readers will learn about the foundations, architectures, methods and strategies for successfully designing, developing, implementing, and evaluating intelligent Decision-making Support Systems.

Intelligent Decision-making Support Systems: Foundations, Applications and Challenges will be of value to researchers in AI and management studies interested in the latest thinking in decision-making, as well practising managers and consultants who are involved with putting advanced information technologies into practice in organisations.

 

The Decision Engineering series focuses on the foundations and applications of tools and techniques related to decision engineering, and identifies their relevance in ‘engineering’ decisions. The series provides an aid to practising professionals and applied researchers in the development of tools for informed operational and business decision making, within industry, by utilising distributed organisational knowledge.

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