DocumentCode
3346040
Title
A methodology for the design of a fuzzy data warehouse
Author
Sapir, Lior ; Shmilovici, Armin ; Rokach, Lior
Author_Institution
Dept. of Inf. Syst. Eng., Ben-Gurion Univ., Beer-Sheva
Volume
1
fYear
2008
fDate
6-8 Sept. 2008
Firstpage
42414
Lastpage
42421
Abstract
A data warehouse is a special database used for storing business oriented information for future analysis and decision-making. In business scenarios, where some of the data or the business attributes are fuzzy, it may be useful to construct a warehouse that can support the analysis of fuzzy data. Here, we outline how Kimballpsilas methodology for the design of a data warehouse can be extended to the construction of a fuzzy data warehouse. A case study demonstrates the viability of the methodology.
Keywords
data warehouses; decision making; fuzzy logic; fuzzy set theory; Kimball methodology; business oriented information; decision-making; fuzzy data warehouse design; Data analysis; Data mining; Data warehouses; Decision making; Design methodology; Fuzzy systems; Guidelines; Information analysis; Intelligent systems; Relational databases; Data Warehouse; Fuzzy Data Warehouse; Fuzzy Systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location
Varna
Print_ISBN
978-1-4244-1739-1
Electronic_ISBN
978-1-4244-1740-7
Type
conf
DOI
10.1109/IS.2008.4670400
Filename
4670400
Link To Document