article · Global Society of Scientific Research and Researchers - International Journal of Computer
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.
This page summarises published work. The authoritative version sits with the publisher.
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.