Home > Society & social sciences > Education > History of education > Erstellung eines regelbasierten Fuzzy-Entscheidungssystems zur Bonitätsbeurteilung von Unternehmen bei einer Kreditversicherung
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Erstellung eines regelbasierten Fuzzy-Entscheidungssystems zur Bonitätsbeurteilung von Unternehmen bei einer Kreditversicherung

Erstellung eines regelbasierten Fuzzy-Entscheidungssystems zur Bonitätsbeurteilung von Unternehmen bei einer Kreditversicherung

          
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About the Book

Inhaltsangabe: Einleitung: Bei der Allgemeinen Kreditversicherung AG werden monatlich etwa 50.000 Kreditentscheidungen getroffen und etwa 500.000 Limite überwacht. Ein solches Massengeschäft läßt sich nur zügig abarbeiten. wenn die Abläufe und Prozesse strukturiert sind und eine Unterstützung mit einer geeigneten EDV-Anlage gesichert ist. Der zweite Aspekt sind die Kosten, die im Rahmen der Kreditprüfung anfallen. Im Wettbewerb kann nur das Unternehmen bestehen. das seine Kostenstrukturen permanent verbessert. Daraus resultiert ein Zwang zur ständigen Rationalisierung und Automatisierung des Kreditprüfungsprozesses. Dazu muß das EDV-gestützte IL-System zur automatischen Limitfestsetzung bessere Ergebnissse liefern, als es mit Hilfe des jetzigen COBOL-Programmoduls der Fall ist. Da die eingesetzten mathematisch-statistischen Methoden8 bei der Bonitätsprüfung keine besseren Ergebnisse liefern als die Kreditprüfer. muß sich das zu erstellende System an der Vorgehensweise der Kreditprüfer bei der Bonitätsprüfung orientieren. Somit würde eine Verbesserung des bestehenden Systems bedeuten, daß das zukünftige System ein ähnliches Entscheidungsverhalten wie die Kreditprüfer aufweisen muß. Im Rahmen dieser Arbeit soll ein System zur automatischen Bonitätsbewertung erstellt werden. Ziel des zu erstellenden Systems ist es, die Arbeit der Kreditprüfer bei der Bonitätsprüfung nachzubilden. Dazu muß das zu erstellende System Wissen der Kreditprüfer, das in umgangssprachlicher Form vorliegt, verarbeiten können. Dazu gehört die Verarbeitung linguistischer Unsicherheit. Unter linguistischer Unsicherheit wird die inhaltliche Unsicherheit oder Undefiniertheit unserer Sprache verstanden. Wörter wie 'durchschnittliche Ertragslage' oder 'gute Zahlungsweise' sind für die menschliche Kommunikation charakteristisch und meistens unproblematisch. Der Mensch besitzt die Fähigkeit, den jeweiligen Zusammenhang aus einer Vielzahl von Nebeninformationen, wie z. B. dem Zusammenhang, in dem ein B


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Product Details
  • ISBN-13: 9783838613970
  • Publisher: Diplom.de
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Spine Width: 6 mm
  • Width: 148 mm
  • ISBN-10: 383861397X
  • Publisher Date: 31 Mar 1999
  • Height: 210 mm
  • No of Pages: 96
  • Series Title: German
  • Weight: 136 gr


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Erstellung eines regelbasierten Fuzzy-Entscheidungssystems zur Bonitätsbeurteilung von Unternehmen bei einer Kreditversicherung
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Erstellung eines regelbasierten Fuzzy-Entscheidungssystems zur Bonitätsbeurteilung von Unternehmen bei einer Kreditversicherung
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