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ECBS
2010
IEEE

A Data Warehouse Model for Integrating Fuzzy Concepts in Meta Table Structures

13 years 1 months ago
A Data Warehouse Model for Integrating Fuzzy Concepts in Meta Table Structures
In classical data warehouses (DWH), classification of values takes place in a sharp manner, because of this true values cannot be measured and smooth transition between classes does not occur. In this paper, a fuzzy data warehouse (FDWH) modeling approach, which allows integration of fuzzy concepts without affecting the core of a DWH is presented. This is accomplished through the addition of a meta-table structure, which enables integration of fuzzy concepts on dimensions and facts, while preserving the time-invariability of the DWH and allowing analysis of data both sharp and fuzzy. A comparison to existing approaches for integrating fuzzy concepts in DWH is presented. Guidelines for modeling the fuzzy meta-tables and a meta-model for the FDWH are also outlined in this paper. The use of the proposed approach is demonstrated by a retail company example. Finally, a comparison of fuzzy and classical data warehousing approaches is presented.
Daniel Fasel, Khurram Shahzad
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where ECBS
Authors Daniel Fasel, Khurram Shahzad
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