| 書(shū)目名稱 | Information, Uncertainty and Fusion | | 編輯 | Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A | | 視頻video | http://file.papertrans.cn/467/466017/466017.mp4 | | 叢書(shū)名稱 | The Springer International Series in Engineering and Computer Science | | 圖書(shū)封面 |  | | 描述 | 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 representa | | 出版日期 | Book 2000 | | 關(guān)鍵詞 | AAC; DOM; Extension; Racter; algorithms; cognition; fuzzy; knowledge; knowledge discovery; knowledge-based sy | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-5209-3 | | isbn_softcover | 978-1-4613-7373-5 | | isbn_ebook | 978-1-4615-5209-3Series ISSN 0893-3405 | | issn_series | 0893-3405 | | copyright | Springer Science+Business Media New York 2000 |
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