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A Fuzzy Data Warehouse Approach for the Customer Performance Measurement for a Hearing Instrument Manufacturing Company

Authors: Daniel Fasel;

A Fuzzy Data Warehouse Approach for the Customer Performance Measurement for a Hearing Instrument Manufacturing Company

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.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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