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Fuzzy Preference Queries to Relational Dtabases
Computer Science

Fuzzy Preference Queries to Relational Dtabases

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About This Book

The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers.This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout, and greatly enhance the detailed theoretical aspects explored in the book.Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries, and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques.

About the Author

Fuzzy Preference Queries to Relational Dtabases is authored by Olivier Pivert | Patrick Bosc.

Product description Review The presentation is self-contained, and numerous examples and proofs are included. -- Zentralblatt MATH "Zentralblatt MATH" From the Back Cover The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers. This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout, and greatly enhance the detailed theoretical aspects explored in the book. Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries, and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques.

Book Highlights

Published by ‎ Imperial College Pr
Language: ‎ English
Publication date: ‎ 23 February 2012
Category: Computer Science > Artificial Intelligence
Dimensions: ‎ 15.49 x 2.54 x 23.62 cm
Weight: ‎ 635 g
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Book Specifications

ISBN-139781848168695
ISBN-101848168691
Publisher‎ Imperial College Pr
Language‎ English
Dimensions‎ 15.49 x 2.54 x 23.62 cm
Weight‎ 635 g
CategoryComputer Science › Artificial Intelligence

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