Index structure for fuzzy databases

A. Yazici, D. Cibiceli

Research output: Contribution to conferencePaperpeer-review

11 Citations (Scopus)


Fuzzy querying involves in more complex processing than the ordinary querying do. In addition, a larger number of tuples will possibly be selected by fuzzy conditions compared to the crisp ones. The current index structures are inefficient in representing and dealing with uncertain and fuzzy data. In this paper we extend one of the multi-dimensional data structure, namely Multi Level Grid File [8], for an efficient access to both crisp and fuzzy data. In order to take an advantage of the indexing data structure proposed here, we first partition uncertain data in a way that accessing such data in a database is reasonably efficient. Therefore, we also focus on the issue of preparation uncertain data before building the access structure. Then we compare the one proposed here with sequential access along with experimental results.

Original languageEnglish
Number of pages7
Publication statusPublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA
Duration: Sep 8 1996Sep 11 1996


ConferenceProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3)
CityNew Orleans, LA, USA

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

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