Name
Abstract | ||
|---|---|---|
The need for extending information management systems to handle the imprecision of informationfound in the real world has been recognized. Fuzzy set theory together with possibilitytheory represent a uniform framework for extending the relational database modelwith these features. However, none of the existing proposals for handling imprecision inthe literature has dealt with queries involving a functional evaluation of a set of items,traditionally referred to as aggregation. Two kinds of... |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1016/0169-023X(92)90040-I | Data Knowl. Eng. |
Keywords | Field | DocType |
possibilistic relational databases,possibility theory,relational database model,fuzzy set theory,information management system,relational database | Information system,Management information systems,Data mining,Query language,Relational database,Computer science,Fuzzy set,Possibility theory,Operator (computer programming),Relational model,Database | Journal |
Volume | Issue | ISSN |
7 | 3 | 0169-023X |
Citations | PageRank | References |
27 | 10.79 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elke A. Rundensteiner | 1 | 4076 | 700.65 |
| Lubomir Bic | 2 | 332 | 125.18 |