Name
Abstract | ||
|---|---|---|
This paper presents an intuitionistic fuzzy (IF) rough relational database model. The IF rough relational database model extends the IF and rough relational database models along with an IF rough relational algebra for querying. The usefulness of this model was illustrated with the Diabetic patients of Tripura where the various types of uncertainties are presented. For this study, first we design our database with an IF rough E-R diagram, created our database schema using an IF rough data definition and manipulation language (DDL and DML). Using IF Rough SQL-like languages, we then illustrate how the IF rough relational database may be queried and how the results are better than those of conventional databases. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-41218-9_20 | Lecture Notes in Artificial Intelligence |
Field | DocType | Volume |
Data mining,Conjunctive query,Relational calculus,Database model,Information retrieval,Relational database,Semi-structured model,Computer science,Database design,Database schema,Relational model | Conference | 8170 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chhaya Gangwal | 1 | 0 | 0.34 |
| Rabi Nanda Bhaumik | 2 | 0 | 0.34 |
| Shishir Kumar | 3 | 78 | 17.06 |