Integrating Fuzzy Concepts to Design a Fuzzy Data Warehouse

Kuyunsa Mayu Alain, Kasoro Mulenda Nathanael, Mabela Matendo Rostin

Abstract


In this study, we attempt to design a fuzzy data warehouse. The classification elements to design the concerned fuzzy data warehouse are presented through the following tasks: identification of the target attribute, the linguistic terms, attribute of class membership, definition of the functions of membership, degree of attribute membership, definition of table of fuzzy classification and fuzzy membership. From all the above tasks, we present a method allowing to design a fuzzy data warehouse data. What enables us to design, starting from a traditional data warehouse, a fuzzy data warehouse, which takes into account, inaccuracy and other uncertainties inherent in the digital data constituting the data warehouse. The Fuzzy logic enables us to deal with this type of data without affecting the base of this data warehouse.


Keywords


Target Attribute; Class Membership Attribute; Membership Degree; Membership Attribute Degree; Fuzzy Classification Table; Fuzzy Membership Table.

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References


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