Fuzzy Numbers in the Credit Rating of Enterprise Financial Condition

Fuzzy Numbers in the Credit Rating of Enterprise Financial Condition Most of the parameters used to describe the credit rating are in linguistic terms, which are vague and difficult to put into precise numerical values. Fuzzy set theory, which was developed to handle this kind of vagueness, is used to represent and to aggregate the various linguistic data usually used in commercial banks. To illustrate the approach, numerical examples are solved and compared with existing approaches. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Quantitative Finance and Accounting Springer Journals

Fuzzy Numbers in the Credit Rating of Enterprise Financial Condition

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2001 by Kluwer Academic Publishers
Subject
Finance; Corporate Finance; Accounting/Auditing; Econometrics; Operation Research/Decision Theory
ISSN
0924-865X
eISSN
1573-7179
D.O.I.
10.1023/A:1012783613875
Publisher site
See Article on Publisher Site

Abstract

Most of the parameters used to describe the credit rating are in linguistic terms, which are vague and difficult to put into precise numerical values. Fuzzy set theory, which was developed to handle this kind of vagueness, is used to represent and to aggregate the various linguistic data usually used in commercial banks. To illustrate the approach, numerical examples are solved and compared with existing approaches.

Journal

Review of Quantitative Finance and AccountingSpringer Journals

Published: Oct 3, 2004

References

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