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This volume is based on the lectures presented by well-known experts at the NATO Advanced Study Institute on Mathematical Models for Decision Support held in Val d'Isère, France, July 26 - August 6, 1987. At the beginning the abstracts appear in a section of their own. This is followed by an extensive review paper which provides an overview of the major modeling issues in decision making. Thus, by first reading these two sections the readers may gain a fair glimpse of the contents of the remaining six sections of the volume. Researchers and practitioners interested in current Decision Support Systems issues and the directions in progress are the intended audience of this book. There is a particular emphasis on the adaptation of Artificial Intelligence techniques for use in decision making. Readers of this volume will find its structure and contents valuable and germane to their own field of study and research.
This volume explores the application of mathematical models and artificial intelligence techniques to enhance decision-making processes. The book compiles lectures from a NATO Advanced Study Institute, featuring contributions from leading experts. It begins with abstracts and a comprehensive review paper that outlines key modeling issues in decision support, providing readers with an overview of the book's scope. The subsequent six sections delve into specific applications and research directions, with a notable emphasis on integrating AI into decision support systems.
The book is presented as a valuable resource for researchers and practitioners interested in the evolving landscape of Decision Support Systems and the integration of Artificial Intelligence. Its structure, beginning with an overview and progressing to detailed applications, is designed to provide a clear understanding of current issues and future directions in the field. The collection of expert lectures suggests a comprehensive and authoritative perspective on mathematical modeling for decision support.
Page Count:
765
Publication Date:
1988-01-01
ISBN-10:
3642835554
ISBN-13:
9783642835551
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