DocumentCode
1396015
Title
Soft Querying of Standard and Uncertain Databases
Author
Yager, Ronald R.
Author_Institution
Machine Intell. Inst., Iona Coll., New Rochelle, NY, USA
Volume
18
Issue
2
fYear
2010
fDate
4/1/2010 12:00:00 AM
Firstpage
336
Lastpage
347
Abstract
We provide a framework for querying of databases. We model a query as a collection of required conditions and an imperative for combining an object´s satisfaction to the individual conditions to get its overall satisfaction. We investigate tools that can enrich this process by enabling the inclusion of more human focused considerations. We discuss how to include flexible conditions with the use of fuzzy sets. We describe some more sophisticated techniques for aggregating the satisfactions of the individual conditions based on the inclusion of importances and the use of the OWA operator. We introduce a new method for aggregating the individual satisfactions that can model a lexicographic relation between the individual requirements. In addition to considering more human focused aspects of the query we look at databases in which the information in the database can have some probabilistic or possibilistic uncertainty.
Keywords
fuzzy set theory; probability; query processing; database querying; fuzzy sets; human focused query formulation; probability; standard soft querying; uncertain databases; Database; flexible query; fuzzy sets; human focused query formulation; uncertain database;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/TFUZZ.2010.2041459
Filename
5398925
Link To Document