Pivert, Olivier; Bosc, Patrick Fuzzy preference queries to relational databases. (English) Zbl 1246.68011 London: Imperial College Press (ISBN 978-1-84816-869-5/hbk; 978-1-84816-870-1/ebook). xvi, 330 p. (2012). The manipulation of databases is an integral part of a pervasively information-focused modern world. This book puts forward to 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. Preference queries provide a basis for rank-ordering of the items retrieved.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. The presentation is self-contained, and numerous examples and proofs are included. Reviewer: Sang Ho Lee (Seoul) Cited in 14 Documents MSC: 68-02 Research exposition (monographs, survey articles) pertaining to computer science 68T35 Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence 68P15 Database theory 68T37 Reasoning under uncertainty in the context of artificial intelligence Keywords:fuzzy preference queries; fuzzy theory; database query processing PDFBibTeX XMLCite \textit{O. Pivert} and \textit{P. Bosc}, Fuzzy preference queries to relational databases. London: Imperial College Press (2012; Zbl 1246.68011) Full Text: Link