Applications of Fuzzy Technology in Business Intelligence

  • Andreas Meyer INFORM Institut f. Operations Research und Management GmbH Risk & Fraud Division Pascalstr. 23 52076 Aachen, Germany
  • Hans-Jürgen Zimmermann RWTH, Aachen Institute of Technology Templer Graben 55 52062 Aachen, Germany

Abstract

Fuzzy Set Theory has been developed during the last decades to a demanding mathematical theory. There exist more than 50,000 publications in this area by now. Unluckily the number of reports on applications of fuzzy technology has become very scarce. The reasons for that are manifold: Real applications are normally not single-method-applications but rather complex combinations of different techniques, which are not suited for a publication in a journal. Sometimes considerations of competition my play a role, and sometimes the theoretical core of an application is not suited for publication. In this paper we shall focus on applications of fuzzy technology on real problems in business management. Two versions of fuzzy technology will be used: Fuzzy Knowledge based systems and fuzzy clustering. It is assumed that the reader is familiar with basic fuzzy set theory and the goal of the paper is, to show that the potential of applying fuzzy technology in management is still very large and hardly exploited so far.

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Published
2011-09-01
How to Cite
MEYER, Andreas; ZIMMERMANN, Hans-Jürgen. Applications of Fuzzy Technology in Business Intelligence. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 6, n. 3, p. 428-441, sep. 2011. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2128>. Date accessed: 30 nov. 2020. doi: https://doi.org/10.15837/ijccc.2011.3.2128.

Keywords

fuzzy technology in business intelligence, fraud detection, risk assessment, intelligent data mining, fuzzy expert systems