Overview
- There is no other authored title on this subject that takes a practical view, in addition to presenting the theory
- The authors of the current title have been the organizers of the main related conference (MDAI, http://www.mdai.info/mdai2006/) for the last 3 years
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Technologies (COGTECH)
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Table of contents (8 chapters)
Keywords
About this book
Information fusion techniques and aggregation operators produce the most comprehensive, specific datum about an entity using data supplied from different sources, thus enabling us to reduce noise, increase accuracy, summarize and extract information, and make decisions. These techniques are applied in fields such as economics, biology and education, while in computer science they are particularly used in fields such as knowledge-based systems, robotics, and data mining.
This book covers the underlying science and application issues related to aggregation operators, focusing on tools used in practical applications that involve numerical information. Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations, the authors then cover the following topics in detail: synthesis of judgements, fuzzy measures, weighted means and fuzzy integrals, indices and evaluation methods, model selection, and parameter extraction. The methods are illustrated with representative examples throughout, and there are extensive bibliographies and reading suggestions.
The book is intended for graduate students, researchers, and practitioners such as engineers, computer scientists, statisticians and economists who use decision models and aggregation operators. The reader is assumed to have a nonspecialized background in mathematics.
Authors and Affiliations
Bibliographic Information
Book Title: Modeling Decisions
Book Subtitle: Information Fusion and Aggregation Operators
Authors: Vicenç Torra, Yasuo Narukawa
Series Title: Cognitive Technologies
DOI: https://doi.org/10.1007/978-3-540-68791-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-68789-4Published: 24 April 2007
Softcover ISBN: 978-3-642-08833-9Published: 22 November 2010
eBook ISBN: 978-3-540-68791-7Published: 11 May 2007
Series ISSN: 1611-2482
Series E-ISSN: 2197-6635
Edition Number: 1
Number of Pages: XIV, 284
Number of Illustrations: 55 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Computation by Abstract Devices, Information Storage and Retrieval, Simulation and Modeling