| 书目名称 | Soft Methods for Integrated Uncertainty Modelling | | 编辑 | Jonathan Lawry,Enrique Miranda,Olgierd Hyrniewicz | | 视频video | | | 概述 | Proceedings of the 3rd International Conference on Soft Methods in Probability and Statistics, Bristol UK Sept. 5.-7. 2006.Recent developments in Soft Computing and Statistics.Includes supplementary m | | 丛书名称 | Advances in Intelligent and Soft Computing | | 图书封面 |  | | 描述 | The idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be explicitly represented and possibly even - ploited rather than either eliminated or ignored in computations. For instance, Zadeh de?ned ‘Soft Computing’ as follows: Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. Recently soft computing has, to some extent, become synonymous with a hybrid approach combining AI techniques including fuzzy systems, neural networks, and biologically inspired methods such as genetic algorithms. Here, however, we adopt a more straightforward de?nition consistent with the original concept. Hence, soft methods are understood as those uncertainty formalisms not part of mainstream s- tistics and probability theory which have typically been developed within the AI and decisionanalysiscommunity.Thesearemathematicallysounduncertaintymodelling methodologies which are complementary to conventional statis | | 出版日期 | Book 2006 | | 关键词 | artificial intelligence; complex system; complex systems; computer-aided design (CAD); intelligence; know | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-34777-1 | | isbn_softcover | 978-3-540-34776-7 | | isbn_ebook | 978-3-540-34777-4Series ISSN 1867-5662 Series E-ISSN 1867-5670 | | issn_series | 1867-5662 | | copyright | Springer-Verlag Berlin Heidelberg 2006 |
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发表于 2025-3-21 16:54:28
