dc.contributor.author |
Stefanakis, E |
en |
dc.contributor.author |
Sellis, T |
en |
dc.date.accessioned |
2014-03-01T01:47:56Z |
|
dc.date.available |
2014-03-01T01:47:56Z |
|
dc.date.issued |
1999 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/25371 |
|
dc.relation.uri |
http://www.dbnet.ece.ntua.gr/pubs/uploads/TR-1999-16.pdf |
en |
dc.subject |
Data Interpretation |
en |
dc.subject |
Database Management System |
en |
dc.subject |
Decision Making |
en |
dc.subject |
Decision Making Process |
en |
dc.subject |
Fuzzy Set |
en |
dc.subject |
Information Loss |
en |
dc.subject |
Spatial Data |
en |
dc.subject |
Spatial Reasoning |
en |
dc.title |
Enhancing a Database Management System for GIS with Fuzzy Set Methodologies |
en |
heal.type |
journalArticle |
en |
heal.publicationDate |
1999 |
en |
heal.abstract |
The methods used in commercial GIS packages for both the representation and analysis of geographic data are inadequate, because they do not handle uncertainty. This leads to information loss and inaccuracy in analysis with adverse consequences in the spatial decision-making process. The incorporation of fuzzy set methodologies into a DBMS repository for the application domain of GIS should be beneficial |
en |