Information, Uncertainty and Fusion
By: edited by Bernadette Bouchon-Meunier, Ronald R. Yager, Lotfi A. Zadeh
Contributors: Yager, Ronald R.; Zadeh, Lotfi A.
Series: The Springer International Series in Engineering and Computer Science -- 516; International series in engineering and computer science -- 516.
Publisher: Springer US
Published: 2000
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 460
ISBN-13: 9781461373735; 9781461552093
Subjects: Microeconomics; Mathematics; Symbolic and mathematical Logic; Artificial intelligence; Information storage and retrieval systems
Description: The recent IPMU Conference held in La Sorbonne in Paris brought together some of the world's leading experts in uncertainty and information fusion. In this volume, the editors have included a selection of papers from this conference. Underlying much of the processing of information is the need to fusion information; this is especially so in attempts to implement `intelligent' operations. The development of efficient tools for retrieval of documents, a concern whose importance has increased in proportion to the rapid development of the internet, requires the use of fusion techniques. Attempts to construct intelligent agents require the use of sophisticated operations, many of which are of a fusion type, to help model the complex ways human beings interact with information and each other. In this volume, the editors have attempted to bring the reader some of the most recent advances in information, uncertainty and fusion.
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