A methodology for the design of a fuzzy data warehouse

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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 Kimball's 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.

Original languageEnglish
Title of host publication2008 4th International IEEE Conference Intelligent Systems, IS 2008
Pages214-221
Number of pages8
DOIs
StatePublished - 1 Dec 2008
Event2008 4th International IEEE Conference Intelligent Systems, IS 2008 - Varna, Bulgaria
Duration: 6 Sep 20088 Sep 2008

Publication series

Name2008 4th International IEEE Conference Intelligent Systems, IS 2008
Volume1

Conference

Conference2008 4th International IEEE Conference Intelligent Systems, IS 2008
Country/TerritoryBulgaria
CityVarna
Period6/09/088/09/08

Keywords

  • Data Warehouse
  • Fuzzy Data Warehouse
  • Fuzzy Systems

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