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.The only other books
which deal with this topic are edited books or conference
proceedings which include a few contributions about some specific
aspects of the question. This book provides a comprehensive view of
the issue, starting with basic notions related to relational
databases and fuzzy set theory, up to the detailed study of complex
fuzzy queries and the way they can be efficiently processed. It is
the compendium of more than 20 years of research by the authors who
benefit from a great international recognition in the domain of
intelligent information systems, on the subject.
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