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Titlebook: Knowledge Management in Fuzzy Databases; Olga Pons,Maria Amparo Vila,Janusz Kacprzyk Book 2000 Springer-Verlag Berlin Heidelberg 2000 data

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发表于 2025-3-21 19:34:05 | 显示全部楼层 |阅读模式
书目名称Knowledge Management in Fuzzy Databases
编辑Olga Pons,Maria Amparo Vila,Janusz Kacprzyk
视频video
概述With contributions by some of the most outstanding researchers in the field
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Knowledge Management in Fuzzy Databases;  Olga Pons,Maria Amparo Vila,Janusz Kacprzyk Book 2000 Springer-Verlag Berlin Heidelberg 2000 data
描述1. When I was asked by the editors of this book to write a foreword, I was seized by panic. Obviously, neither I am an expert in Knowledge Representation in Fuzzy Databases nor I could have been beforehand unaware that the book‘s contributors would be some of the most outstanding researchers in the field. However, Amparo Vila‘s gentle insistence gradually broke down my initial resistance, and panic then gave way to worry. Which paving stones did I have at my disposal for making an entrance to the book? After thinking about it for some time, I concluded that it would be pretentious on my part to focus on the subjects which are dealt with directly in the contributions presented, and that it would instead be better to confine myself to making some general reflections on knowledge representation given by imprecise information using fuzzy sets; reflections which have been suggested to me by some words in the following articles such as: graded notions, fuzzy objects, uncertainty, fuzzy implications, fuzzy inference, empty intersection, etc.
出版日期Book 2000
关键词data mining; database; database management; databases; fuzziness; fuzzy; fuzzy logic; information retrieval
版次1
doihttps://doi.org/10.1007/978-3-7908-1865-9
isbn_softcover978-3-7908-2467-4
isbn_ebook978-3-7908-1865-9Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2000
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发表于 2025-3-21 20:53:55 | 显示全部楼层
Book 2000ion in Fuzzy Databases nor I could have been beforehand unaware that the book‘s contributors would be some of the most outstanding researchers in the field. However, Amparo Vila‘s gentle insistence gradually broke down my initial resistance, and panic then gave way to worry. Which paving stones did
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Fuzzy Data Modeling at a Conceptual Level: Extending ER/EER Conceptsnvestigated in a fuzzy context, including multiple inheritance, selective inheritance, and the inheritance for derived attributes Finally, certain constraints on relationships are explored in terms of the inheritance constraint, the participation constraint, and the cardinality constraint.
发表于 2025-3-22 11:28:27 | 显示全部楼层
Formulation of Division Operators in Fuzzy Relational Databasesng possible values. When an imprecise attribute value is expressed by a possibility distribution, the most fundamental component is possible values. We cannot obtain correct results of division operators if possible values obtained from the possibility distribution are not considered.
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Extended Divisions for Flexible Queries in Relational Databasesillment and levels of importance are present in the specification of a requirement. Furthermore, we consider the case where a level of fulfillment may be ill-known in the available data, which is expressed by a fuzzy-valued degree. We also show that quantifiers like . can be handled by a suitable weakening of the min operation in our extension.
发表于 2025-3-23 04:49:20 | 显示全部楼层
Intelligent Query Answering in DAKSng in one information system by mining other information systems. The applications include knowledge and data sharing at the large scale by intelligent information systems, public verification of knowledge and others. In this paper we mainly focus on intelligent answers to queries.
发表于 2025-3-23 08:02:19 | 显示全部楼层
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