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Titlebook: Interval / Probabilistic Uncertainty and Non-classical Logics; Van-Nam Huynh,Yoshiteru Nakamori,Hung T. Nguyen Book 2008 Springer-Verlag B

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书目名称Interval / Probabilistic Uncertainty and Non-classical Logics
编辑Van-Nam Huynh,Yoshiteru Nakamori,Hung T. Nguyen
视频video
概述Proceedings of the International Workshop on Interval/Probabilistic Uncertainty and Non Classical Logics (UncLog‘08), Ishikawa, Japan, March 25-28, 2008.Recent developments in Uncertainty and Non-clas
丛书名称Advances in Intelligent and Soft Computing
图书封面Titlebook: Interval / Probabilistic Uncertainty and Non-classical Logics;  Van-Nam Huynh,Yoshiteru Nakamori,Hung T. Nguyen Book 2008 Springer-Verlag B
描述Large-scale data processing is important. Most successful applications of m- ern science and engineering, from discovering the human genome to predicting weather to controlling space missions, involve processing large amounts of data and large knowledge bases. The corresponding large-scale data and knowledge processing requires intensive use of computers. Computers are based on processing exact data values and truth values from the traditional 2-value logic. The ability of computers to perform fast data and knowledgeprocessingisbasedonthehardwaresupportforsuper-fastelementary computer operations, such as performing arithmetic operations with (exactly known) numbers and performing logical operations with binary (“true”-“false”) logical values. In practice, we need to go beyond exact data values and truth values from the traditional 2-value logic. In practical applications, we need to go beyond such operations. Input is only known with uncertainty. Let us ?rst illustrate this need on the example of operations with numbers. Hardware-supported computer operations (implicitly) assume that we know the exact values of the input quantities. In reality, the input data usually comes from mea
出版日期Book 2008
关键词Analysis; fuzzy; genome; knowledge; knowledge base; knowledge-based system; knowledge-based systems; modeli
版次1
doihttps://doi.org/10.1007/978-3-540-77664-2
isbn_softcover978-3-540-77663-5
isbn_ebook978-3-540-77664-2Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer-Verlag Berlin Heidelberg 2008
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1867-5662 eed on the example of operations with numbers. Hardware-supported computer operations (implicitly) assume that we know the exact values of the input quantities. In reality, the input data usually comes from mea978-3-540-77663-5978-3-540-77664-2Series ISSN 1867-5662 Series E-ISSN 1867-5670
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Yaxin Bi,Xuhui Shen,Shengli Wu darunter leiden darf, daß Personen ans irgendwelchen Gründen vorübergehend oder dauernd ausfallen, so muß für deren Ersatz gesorgt werden. Hierdurch ergeben sich Fragen der Stellenbesetzung. Somit sind nachfolgend zu behandeln: Aufgabengliederung Arbeitsgliederung im Betrieb im Betriebssystem Stell
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Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overviewrd – which means, crudely speaking, that in general, no computationally efficient algorithm can solve all particular cases of the corresponding problem. In this paper, we overview practical situations in which computationally efficient algorithms exist: e.g., situations when measurements are very ac
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