Path: utzoo!mnetor!tmsoft!torsqnt!news-server.csri.toronto.edu!bonnie.concordia.ca!thunder.mcrcim.mcgill.edu!snorkelwacker.mit.edu!spool.mu.edu!uunet!mcsun!ukc!edcastle!aiai!aiai.uucp!chung From: chung@aiai.uucp (Paul Chung) Newsgroups: comp.databases Subject: Fuzzy matching Message-ID: <4165@skye.ed.ac.uk> Date: 18 Feb 91 17:09:08 GMT Sender: news@aiai.ed.ac.uk Reply-To: chung@aiai.uucp (Paul Chung) Organization: AIAI, University of Edinburgh, Scotland Lines: 17 I am interested in the idea of fuzzy matching in the database context. Given a query, in addition to the system returning the exact matches, I would like it to report near misses as well. Each near miss will be assigned a number representing the goodness of fit. Has much work been done in this area? I would be most grateful if you could point me to any relevant papers or systems. I am already familiar with the ideas of fuzzy set theory and fuzzy logic. Thanks in advance. Paul Chung Paul Chung, JANET: P.Chung@uk.ac.ed AI Applications Institute, ARPA: P.Chung%uk.ac.ed@nsfnet-relay.ac.uk University of Edinburgh. UUCP: ...!ukc!ed.ac.uk!P.Chung