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 |  | 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 | doi | https://doi.org/10.1007/978-3-540-77664-2 | isbn_softcover | 978-3-540-77663-5 | isbn_ebook | 978-3-540-77664-2Series ISSN 1867-5662 Series E-ISSN 1867-5670 | issn_series | 1867-5662 | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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