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Item Details
Title: MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE
By: Prof. Vicenc Torra (Editor), Yasuo Narukawa (Editor)
Format: Paperback

List price: £62.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3540882685
ISBN 13: 9783540882688
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 6 October, 2008
Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence No. 5285
Pages: 239
Description: Constitutes the refereed proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2008, held in Sabadell, Spain, in October 2008. This book presents papers that are devoted to theory and tools for modeling decisions, as well as applications that encompass decision making processes.
Synopsis: This book constitutes the refereed proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2008, held in Sabadell, Spain, in October 2008. The 19 revised full papers presented together with 2 invited lectures were thoroughly reviewed and selected from 43 submissions; they are devoted to theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques. The papers are organized in topical sections on aggregation operators, decision making, clustering and similarity, computational intelligence and optimization, as well as data privacy.
Illustrations: biography
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
Some other items by this author:
ADVANCED RESEARCH IN DATA PRIVACY (HB)
ADVANCED RESEARCH IN DATA PRIVACY (PB)
AGGREGATION FUNCTIONS IN THEORY AND IN PRACTICE (PB)
DATA PRIVACY MANAGEMENT AND SECURITY ASSURANCE (PB)
DATA PRIVACY: FOUNDATIONS, NEW DEVELOPMENTS AND THE BIG DATA CHALLENGE (HB)
DATA PRIVACY: FOUNDATIONS, NEW DEVELOPMENTS AND THE BIG DATA CHALLENGE (PB)
FUZZY SETS, ROUGH SETS, MULTISETS AND CLUSTERING (HB)
GUIDE TO DATA PRIVACY
HOW FUZZY CONCEPTS CONTRIBUTE TO MACHINE LEARNING
HOW FUZZY CONCEPTS CONTRIBUTE TO MACHINE LEARNING (HB)
INFORMATION FUSION IN DATA MINING (HB)
INFORMATION FUSION IN DATA MINING (PB)
MODELING DECISION FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS (HB)
MODELING DECISIONS (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (PB)
NON-ADDITIVE MEASURES (HB)
NON-ADDITIVE MEASURES (PB)
PRIVACY IN STATISTICAL DATABASES (PB)
SCALA: FROM A FUNCTIONAL PROGRAMMING PERSPECTIVE (PB)

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