Intelligent classification and ranking analyses using CARBS: credit rating application

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X 2008. Intelligent classification and ranking analyses using CARBS: credit rating application. Wang, Hsiao-Fan, ed. Intelligent data analysis: developing new methodologies through pattern discovery and recovery, Hershey, PA.: IGI Global, pp. 236-253. (10.4018/978-1-59904-982-3)

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Abstract

This chapter demonstrates intelligent data analysis, within the environment of uncertain reasoning, using the recently introduced CaRBS technique that has its mathematical rudiments in Dempster-Shafer theory. A series of classification and ranking analyses are undertaken on a bank rating application, looking at Moody’s bank financial strength rating (BFSR). The results presented involve the association of each bank to being low or high BFSR, with emphasis is on the graphical exposition of the results including the use of a series of simplex plots. Throughout the analysis there is discussion on how the present of ignorance in the results should be handled, whether it should be excluded (belief) or included (plausibility) in the evidence supporting the classification or ranking of the banks

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HG Finance Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Publisher:	IGI Global
ISBN:	9781599049823
Related URLs:	Publisher
Last Modified:	19 Oct 2022 10:23
URI:	https://orca.cardiff.ac.uk/id/eprint/24196

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