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Titlebook: Rough Sets, Fuzzy Sets and Knowledge Discovery; Proceedings of the I Wojciech P. Ziarko Conference proceedings 1994 British Computer Societ

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发表于 2025-3-21 19:08:15 | 显示全部楼层 |阅读模式
书目名称Rough Sets, Fuzzy Sets and Knowledge Discovery
副标题Proceedings of the I
编辑Wojciech P. Ziarko
视频video
丛书名称Workshops in Computing
图书封面Titlebook: Rough Sets, Fuzzy Sets and Knowledge Discovery; Proceedings of the I Wojciech P. Ziarko Conference proceedings 1994 British Computer Societ
描述The objective of this book is two-fold. Firstly, it is aimed at bringing to­ gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisit
出版日期Conference proceedings 1994
关键词Extension; cognition; decision problem; decision support; expert system; fuzzy sets; image processing; imag
版次1
doihttps://doi.org/10.1007/978-1-4471-3238-7
isbn_softcover978-3-540-19885-7
isbn_ebook978-1-4471-3238-7Series ISSN 1431-1682
issn_series 1431-1682
copyrightBritish Computer Society 1994
The information of publication is updating

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发表于 2025-3-21 22:10:35 | 显示全部楼层
Rough Sets, Fuzzy Sets and Knowledge Discovery978-1-4471-3238-7Series ISSN 1431-1682
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https://doi.org/10.1007/978-1-4471-3238-7Extension; cognition; decision problem; decision support; expert system; fuzzy sets; image processing; imag
Agnosia
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An Overview of Knowledge Discovery in Databases: Recent Progress and Challenges,strategy discovery systems, and detection of changes and deviations. I describe a number of successful applications and discuss the remaining challenges for further research and application development.
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Search for Concepts and Dependencies in Databases,ps among descriptors or attributes. This paper addresses the problem of generating implication rules, and shows that the lattice is an interesting framework for functional dependency generation and checking.
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A Rough Set Model for Relational Databases,tabases. Fuzzy set theory has been established as a useful tool for representing imprecision and grades of membership. It has also been integrated with the relational database model and proven to be an excellent mechanism for expressing relationships among attribute values and imprecision in querying [1].
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Rough Set Analysis of Multi-Attribute Decision Problems, about prescription of some decisions basing on analysis of a decision situation. In this paper, four classes of multi-attribute decision problems are defined, depending on a structure of their representation, their interpretation and the kind of questions related, as well as the rough set methodology of their analysis are briefly described.
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