A fuzzy data warehouse approach for the customer performance measurement for a hearing instrument manufacturing company

Authors:
Daniel Fasel
Affiliations:
Department of Informatics, University of Fribourg, Fribourg, Switzerland
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Year:
2009

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Abstract

This paper uses a fuzzy data warehouse approach to support the fuzzy analysis of the customer performance measurement. A data warehouse concept supporting fuzzy dimensions and fuzzy facts is described. The potential of the fuzzy data warehouse approach is illustrated using a concrete example of customer performance measurements of a hearing instrument manufacturer. The example discusses the creation of fuzzy multidimensional classification spaces with using the dicing operation and demonstrate the added value of fuzzy slices, dices and aggregations compared to crisp ones. Added value and potential future studies are also discussed in the conclusion.