This volume presents developments in the introduction of fuzzy, probabilistic and rough elements into basic components of fuzzy databases. It emphasizes their uses (in particular, querying and information retrieval), from the point of view of data mining and knowledge discovery. Editor(s): Pons, Olga; Vila, Maria Amparo; Kacprzyk, Janusz. Series: Studies in Fuzziness and Soft Computing. Num Pages: 386 pages, 26 black & white tables, biography. BIC Classification: PBWX; UNC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 166 x 29. Weight in Grams: 706. . 1999. 2000th Edition. hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Knowledge Management in Fuzzy Databases
Publisher: Physica
Publication Date: 1999
Language: English
ISBN 10: 3790812552
ISBN 13: 9783790812558
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

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