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Titlebook: Intelligent Systems and Soft Computing; Prospects, Tools and Benham Azvine,Detlef D. Nauck,Nader Azarmi Book 2000 Springer-Verlag Berlin He

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发表于 2025-3-21 17:11:42 | 显示全部楼层 |阅读模式
书目名称Intelligent Systems and Soft Computing
副标题Prospects, Tools and
编辑Benham Azvine,Detlef D. Nauck,Nader Azarmi
视频videohttp://file.papertrans.cn/471/470062/470062.mp4
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Systems and Soft Computing; Prospects, Tools and Benham Azvine,Detlef D. Nauck,Nader Azarmi Book 2000 Springer-Verlag Berlin He
描述Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together..This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.
出版日期Book 2000
关键词Cluster; Processing; artificial intelligence; cognition; fuzzy; intelligence; intelligent systems; knowledg
版次1
doihttps://doi.org/10.1007/10720181
isbn_softcover978-3-540-67837-3
isbn_ebook978-3-540-44917-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2000
The information of publication is updating

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From Computing with Numbers to Computing with Words—From Manipulation of Measurements to Manipulatioy in which the objects of computation are words and propositions drawn from a natural language, e.g. . etc. Computing with words (CW) is inspired by the remarkable human capability to perform a wide variety of physical and mental tasks without any measurements and any computations. Familiar examples
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Problems and Prospects in Fuzzy Data Analysisver, the approaches studied in this area have mainly been oriented towards highly structured and precise data. In addition, the goal to obtain understandable results is often neglected. Therefore we suggest concentrating on ., i.e. the analysis of heterogeneous information sources with the main aim
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Advanced Fuzzy Clustering and Decision Tree Plug-Ins for DataEngineTMes. In such a situation it is important that a user can enhance the capabilities of a data analysis tool by his or her own favourite methods in order to compensate for shortcomings of the shipped version. However, only few commercial products offer such a possibility. A rare exception is DataEngine.
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