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Integrating fuzzy queries into an existing database management system: An example
Author(s) -
Bosc P.,
Pivert O.,
Farquhar K.
Publication year - 1994
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550090507
Subject(s) - computer science , extension (predicate logic) , data warehouse , flexibility (engineering) , semantics (computer science) , database , fuzzy logic , online analytical processing , data mining , information system , information retrieval , artificial intelligence , mathematics , programming language , statistics , electrical engineering , engineering
Abstract In traditional database management systems, queries are intended to retrieve data which satisfy crisp criteria. In some cases, this lack of flexibility leads to empty answers. That is one of the reasons why we have been investigating the extension of these systems so that they become able to support imprecise querying capabilities. In this article, the introduction of imprecise queries in a particular nonrelational system (Information Warehouse) is presented. One of the main interesting aspects of this work resides in the specific data model for which the semantics of fuzzy queries firstly has to be defined. © 1994 John Wiley & Sons, Inc.