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
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