Design and implementation of index structures for fuzzy spatial databases

Aziz Sözer, Adnan Yazici

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Over the years database management systems have evolved to include spatially referenced data. Because spatial data are complex and have a number of unique constraints (i.e., spatial components and uncertain properties), spatial database systems can be effective only if the spatial 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 such databases. For this purpose we introduce an indexing approach to use (fuzzy) spatial and (fuzzy) aspatial data. We use 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
Pages (from-to)805-826
Number of pages22
JournalInternational Journal of Intelligent Systems
Issue number7
Publication statusPublished - Jul 1 2007

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Human-Computer Interaction
  • Artificial Intelligence

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