Title :
A New Fuzzy Multidimensional Model
Author :
Molina, Carlos ; Rodríguez-Ariza, Lázaro ; Sánchez, Daniel ; Vila, M. Amparo
Author_Institution :
Dept. of Comput. Sci., Univ. of Jaen
Abstract :
As a result of the use of OLAP technology in new fields of knowledge and the merging of data from different sources, it has become necessary for models to support this technology. In this paper, we shall propose a new multidimensional model that can manage imprecision in both dimensions and facts and hide the complexity to the end user. The multidimensional structure is therefore able to model data imprecision resulting from the integration of data from different sources or even information from experts, which it does by means of fuzzy logic
Keywords :
data mining; database management systems; fuzzy logic; merging; OLAP technology; data merging; fuzzy logic; fuzzy multidimensional model; Computer science; Database languages; Decision support systems; Flexible structures; Fuzzy logic; Fuzzy systems; Merging; Multidimensional systems; Proposals; XML;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2006.879984