DocumentCode
2242947
Title
A fuzzy multidimensional model for supporting imprecision in OLAP
Author
Delgado, Miguel ; Molina, Carlos ; Sánchez, Daniel ; Vila, Amparo ; Rodríguez-Ariza, Lázaro
Author_Institution
Dept. of Comput. Sci. & Artificial Intelligent, Granada Univ., Spain
Volume
3
fYear
2004
fDate
25-29 July 2004
Firstpage
1331
Abstract
The use of OLAP technology in new knowledge fields and the merge of data from different sources have made appeared new requirements for models to support this technology. What we propose in this paper is a new multidimensional model that can manage imprecision both in the dimensions and the facts. This enables the multidimensional structure to model the imprecision of the data as a result of the integration of data from different sources or even information from experts. This is done by means of fuzzy logic.
Keywords
data mining; fuzzy logic; multidimensional systems; OLAP technology; data imprecision; data integration; fuzzy logic; fuzzy multidimensional model; Artificial intelligence; Computer science; Database languages; Decision support systems; Fuzzy logic; Knowledge management; Multidimensional systems; Proposals; Technology management; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375362
Filename
1375362
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