| 書目名稱 | Uncertainty Theory | | 副標題 | A Branch of Mathemat | | 編輯 | Baoding Liu | | 視頻video | http://file.papertrans.cn/942/941114/941114.mp4 | | 概述 | Recent research in Agents and multi-agent systems in distributed systems.Presents new applications of multi-agent systems to digital economy and e-commerce.Written by a leading expert in the field | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfies the axioms of uncertainty theory. Thus uncertainty is neither randomness nor fuzziness. It is also known from some surveys that a lot of phenomena do behave like uncertainty. How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory, including uncertain programming, uncertain risk analysis, uncertain reliability analysis, uncertain process, uncertain calculus, uncertain differential equation, uncertain logic, uncertain entailment, and uncertain inference. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, system science, industrial engineering, computer science, artificial intelligence, finance, control, and management science will find this work a stimulating and useful reference. | | 出版日期 | Book 2010 | | 關鍵詞 | Credibility Theory; Fuzzy Sets; Random Fuzzy Theory; Rough Sets; Uncertainty Theory | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-13959-8 | | isbn_softcover | 978-3-642-42248-5 | | isbn_ebook | 978-3-642-13959-8Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer Berlin Heidelberg 2010 |
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