Index structures for flexible querying in fuzzy spatial databases

Aziz Sozer, Adrian Yazici

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Database systems can be effective only if the data are properly handled at the physical level. Therefore, it is important to develop an effective spatial and aspatial indexing technique to facilitate flexible spatial and/or aspatial querying for spatial databases. In this study we adapt a number of spatial index structures, such as Multilevel grid file (MLGF), G-tree, R-tree, and R-tree, for fuzzy spatial databases and compare the performances of these structures for various flexible queries.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Fuzzy Systems - Proceedings
Pages559-564
Number of pages6
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest, Hungary
Duration: Jul 25 2004Jul 29 2004

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume1
ISSN (Print)1098-7584

Conference

Conference2004 IEEE International Conference on Fuzzy Systems - Proceedings
Country/TerritoryHungary
CityBudapest
Period7/25/047/29/04

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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