Abstract
In today’s dynamic changing business environment business knowledge is a key competitive factor. It comprises all intellectual assets of a company in order to keep or strengthen its current position in the market place. In connection with the advancement of modern technologies enterprises are collecting large quantities of data. It is usually encountered at this stage, that data, information and knowledge significantly differ from each other. To reap the real benefits of collecting data and to ease the analysis, this article introduces the concept of fuzzy data mining Fuzzy data mining simplifies the extraction and interpretation of relevant data out of a large database. Its concept is demonstrated with help of the Rejects Management Information System R-MIS. The multidimensional database system pcExpress and the graphical tool Express/EIS from ORACLE have been used to implement R-MIS. This project has been a cooperation between the University of Dortmund and a subsidiary company of a well known German automotive enterprise.
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Bellmann, M., Vojdani, N. (2000). Creating Business Knowledge by Fuzzy Data Mining. In: Pons, O., Vila, M.A., Kacprzyk, J. (eds) Knowledge Management in Fuzzy Databases. Studies in Fuzziness and Soft Computing, vol 39. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1865-9_18
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DOI: https://doi.org/10.1007/978-3-7908-1865-9_18
Publisher Name: Physica, Heidelberg
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