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Information, Uncertainty and Fusion

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Published by Springer US in Boston, MA .
Written in English

Subjects:

  • Microeconomics,
  • Mathematics,
  • Symbolic and mathematical Logic,
  • Artificial intelligence,
  • Information storage and retrieval systems

Book details:

About the Edition

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.

Edition Notes

Statementedited by Bernadette Bouchon-Meunier, Ronald R. Yager, Lotfi A. Zadeh
SeriesThe Springer International Series in Engineering and Computer Science -- 516, International series in engineering and computer science -- 516.
ContributionsYager, Ronald R., Zadeh, Lotfi A.
Classifications
LC ClassificationsQA8.9-10.3
The Physical Object
Format[electronic resource] /
Pagination1 online resource (x, 460 pages).
Number of Pages460
ID Numbers
Open LibraryOL27045579M
ISBN 101461373735, 1461552095
ISBN 109781461373735, 9781461552093
OCLC/WorldCa851820064

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lfcmalta.com: Information, Uncertainty and Fusion (The Springer International Series in Engineering and Computer Science Book ) eBook: Bernadette Bouchon-Meunier, Ronald . The recent IPMU conference held at La Sorbonne in Paris brought together some of the world’s leading experts in uncertainty and information fusion. In this volume we have included a selection ofpapers from this conference. What should be clear from looking at this volume is the number of different ways that are available for representing. Get this from a library! Information, uncertainty, and fusion. [B Bouchon-Meunier; Ronald R Yager; Lotfi A Zadeh;] -- "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. As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. In order to increase the value of this vast supply of information we must develop means for effectively processing it. Newly.

Get this from a library! Information, Uncertainty and Fusion. [Bernadette Bouchon-Meunier; Ronald R Yager; Lotfi A Zadeh] -- 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 . Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source.. Data fusion processes are often categorized as low, intermediate, or high, depending on the processing stage at which fusion takes place. Low-level data fusion combines several sources of raw data to produce new raw data. Oct 12,  · Information, Uncertainty and Fusion by Bernadette Bouchon-Meunier, , available at Book Depository with free delivery worldwide.4/5(1). Typically, information integration refers to textual representations of knowledge but is sometimes applied to rich-media content. Information fusion, which is a related term, involves the combination of information into a new set of information towards reducing redundancy and uncertainty.

In this paper our motivation is to provide evaluation approaches for information fusion where both possibilistic uncertainty and probabilistic uncertainty occurs. This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision lfcmalta.comcturer: Springer. About this Book. Addressing recent challenges and developments in this growing field, Multisensor Data Fusion Uncertainty Theory first discusses basic questions such as: Why and when is multiple sensor fusion necessary? How can the available measurements be characterized in such a case? Hence, uncertainty management plays a vital role within the information fusion process. Uncertainty can be expressed by probability theory or, in the form of non-specificity and discord, by, for.