| Information, Uncertainty and Fusion 2000 Edition Contributor(s): Bouchon-Meunier, Bernadette (Editor), Yager, Ronald R. (Editor), Zadeh, Lotfi (Editor) |
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ISBN: 079238590X ISBN-13: 9780792385905 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: September 1999 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Expert Systems - Mathematics | Logic - Computers | System Administration - Storage & Retrieval |
| Dewey: 006.3 |
| LCCN: 99037150 |
| Series: The Springer International Engineering and Computer Science |
| Physical Information: 1.06" H x 6.14" W x 9.21" (1.85 lbs) 460 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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 emerging disciplines such as Information Engineering and Soft Computing are being developed in order to provide the tools required. Conferences such as the International Conference on Information Processing and ManagementofUncertainty in Knowledge-based Systems (IPMU) are being held to provide forums in which researchers can discuss the latest developments. 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 uncertain information. This variety in representational frameworks is a manifestation of the different types of uncertainty that appear in the information available to the users. Perhaps, the representation with the longest history is probability theory. This representation is best at addressing the uncertainty associated with the occurrence of different values for similar variables. This uncertainty is often described as randomness. Rough sets can be seen as a type of uncertainty that can deal effectively with lack of specificity, it is a powerful tool for manipulating granular information. |