A methodology for the design of a fuzzy data warehouse

• Published in: 2008 4th International IEEE Conference Intelligent Systems Vol. 1; pp. 2-14 - 2-21
• Main Authors: Sapir, L., Shmilovici, A., Rokach, L.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2008
• Subjects: Data analysis; Data mining; Data Warehouse; Data warehouses; Decision making; Design methodology; Fuzzy Data Warehouse; Fuzzy systems; Guidelines; Information analysis; Intelligent systems; Relational databases
• ISBN: 9781424417391; 1424417392
• ISSN: 1541-1672; 1941-1294
• DOI: 10.1109/IS.2008.4670400

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.