Modelling a Structure of a Fuzzy Data Warehouse:: Science Publishing Group

Modelling a Structure of a Fuzzy Data Warehouse

Alain Kuyunsa Mayu¹, Nathanael Kasoro Mulenda², Rostin Mabela Matendo²

¹Faculty of Sciences, Regional Center for Doctoral Education in Mathematics and Computer Sciences, University of Kinshasa, Kinshasa, D. R. Congo

²Faculty of Sciences, Department of Mathematics and Computer Sciences, University of Kinshasa, Kinshasa, D. R. Congo

Applied Engineering, Volume 1, Issue 2, December 2017

Pages: 48-56

Received: Apr. 12, 2017

Accepted: Apr. 22, 2017

Published: Jun. 28, 2017

DOI: 10.11648/j.ae.20170102.12

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Abstract

In this article, we represent the structure of a fuzzy data warehouse. The elements of classification to build the fuzzy data warehouse are presented through the three following tasks: identification of the target-attribute, identification of linguistic terms and definition of membership functions. From these tasks, we present an approach of a fuzzy data warehouse modelling. This allows us to integrate fuzzy logic without affecting the data warehouse base.

Keywords

Target Attribute, Class Membership Attribute, Membership Degree, Membership Degree Attribute,Fuzzy Classification Table, Fuzzy Membership Table

To cite this article

Alain Kuyunsa Mayu, Nathanael Kasoro Mulenda, Rostin Mabela Matendo. (2017). Modelling a Structure of a Fuzzy Data Warehouse. Applied Engineering, 1(2), 48-56. https://doi.org/10.11648/j.ae.20170102.12

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This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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