Weighted fuzzy queries in relational databases

Authors:
Ying-Chao Zhang;Yi-Fei Chen;Xiao-ling Ye;Jie-Liang Zheng
Affiliations:
Dept. of Information and Communication, Nanjing University of Information Sciences & Technology, Nanjing;Dept. of Information and Communication, Nanjing University of Information Sciences & Technology, Nanjing;Dept. of Information and Communication, Nanjing University of Information Sciences & Technology, Nanjing;Dept. of Information and Communication, Nanjing University of Information Sciences & Technology, Nanjing
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

Citing 2
Cited 0

Fuzzy query translation for relational database systems

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SQLf: a relational database language for fuzzy querying

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In most of fuzzy querying systems, items in query conditions are assumed to carry equal importance, although it might not actually to be the case. Issues for expressing users' preferences to query conditions are presented here. Relative importance between query items is introduced. Standard SQL is extended to express weighted fuzzy queries, such as sub-queries, multi-table queries; set-oriented queries etc. which make the existing relational database systems more flexible and more intelligent to users.