Applied Engineering


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Modelling a Structure of a Fuzzy Data Warehouse

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.

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

Alain Kuyunsa Mayu, Nathanael Kasoro Mulenda, Rostin Mabela Matendo. (2017). Modelling a Structure of a Fuzzy Data Warehouse. Applied Engineering, 1(2), 48-56.

Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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