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
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;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375362
