• DocumentCode
    3213172
  • Title

    An index structure for fuzzy databases

  • Author

    Yazici, Adnan ; Cibiceli, Dogan

  • Author_Institution
    Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey
  • Volume
    2
  • fYear
    1996
  • fDate
    8-11 Sep 1996
  • Firstpage
    1375
  • Abstract
    Fuzzy querying involves more complex processing than ordinary querying does. 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 structures, namely Multi Lever Grid File (Whang and Krishnamurty, 1991) for an efficient access to both crisp and fuzzy data. In order to take 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 of uncertain data before building the access structure. Then we compare the one proposed here with sequential access along with experimental results
  • Keywords
    fuzzy set theory; query processing; Multi Lever Grid File; access structure; fuzzy conditions; fuzzy databases; fuzzy querying; index structure; multi-dimensional data structures; uncertain data; Buildings; Data structures; Database systems; Decision support systems; Delay; Indexes; Indexing; Information retrieval; Office automation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-7803-3645-3
  • Type

    conf

  • DOI
    10.1109/FUZZY.1996.552377
  • Filename
    552377