Abstract
Though the data integration problem of relational databases has been well studied, little work addresses the problem In the context of fuzzy relational databases. The fuzzy relational model relies on the specification of either a similarity relation or a proximity relation for each scalar domain in the fuzzy database. Without the constraint of max-min transitivity, proximity relations can be defined in an intuitive way. This paper states a resolution in integrating multiple proximity relations. First, the closure property of weighted combination of multiple proximity relations is shown. Then, the notion of consistency constraint is defined. It has been proved that the weighted combination of proximity relations under such constrain Is still consistent with each of the proximity relations prior to their integration.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Information and Knowledge Engineering |
| Editors | N. Goharian, N. Goharian |
| Pages | 182-185 |
| Number of pages | 4 |
| Volume | 1 |
| Publication status | Published - 2003 |
| Externally published | Yes |
| Event | Proceedings of the International Conference on Information and Knowledge Engineering 2003 - Las Vegas, NV, United States Duration: Jun 23 2003 → Jun 26 2003 |
Other
| Other | Proceedings of the International Conference on Information and Knowledge Engineering 2003 |
|---|---|
| Country | United States |
| City | Las Vegas, NV |
| Period | 6/23/03 → 6/26/03 |
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Keywords
- Data integration
- Fuzzy databases
- Proximity relations
- Similarity relations
ASJC Scopus subject areas
- Library and Information Sciences
- Information Systems
Cite this
Integration of proximity relations under consistency constraint. / Liu, Yu Chih; Chang, Tsu Hao; Lin, Jun Lin.
Proceedings of the International Conference on Information and Knowledge Engineering. ed. / N. Goharian; N. Goharian. Vol. 1 2003. p. 182-185.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Integration of proximity relations under consistency constraint
AU - Liu, Yu Chih
AU - Chang, Tsu Hao
AU - Lin, Jun Lin
PY - 2003
Y1 - 2003
N2 - Though the data integration problem of relational databases has been well studied, little work addresses the problem In the context of fuzzy relational databases. The fuzzy relational model relies on the specification of either a similarity relation or a proximity relation for each scalar domain in the fuzzy database. Without the constraint of max-min transitivity, proximity relations can be defined in an intuitive way. This paper states a resolution in integrating multiple proximity relations. First, the closure property of weighted combination of multiple proximity relations is shown. Then, the notion of consistency constraint is defined. It has been proved that the weighted combination of proximity relations under such constrain Is still consistent with each of the proximity relations prior to their integration.
AB - Though the data integration problem of relational databases has been well studied, little work addresses the problem In the context of fuzzy relational databases. The fuzzy relational model relies on the specification of either a similarity relation or a proximity relation for each scalar domain in the fuzzy database. Without the constraint of max-min transitivity, proximity relations can be defined in an intuitive way. This paper states a resolution in integrating multiple proximity relations. First, the closure property of weighted combination of multiple proximity relations is shown. Then, the notion of consistency constraint is defined. It has been proved that the weighted combination of proximity relations under such constrain Is still consistent with each of the proximity relations prior to their integration.
KW - Data integration
KW - Fuzzy databases
KW - Proximity relations
KW - Similarity relations
UR - http://www.scopus.com/inward/record.url?scp=1642341083&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=1642341083&partnerID=8YFLogxK
M3 - Conference contribution
SN - 1932415076
VL - 1
SP - 182
EP - 185
BT - Proceedings of the International Conference on Information and Knowledge Engineering
A2 - Goharian, N.
A2 - Goharian, N.
ER -