A case-based reasoning model that uses preference theory functions for credit scoring
Abstract
We propose a case-based reasoning (CBR) model that uses preference theory functions for similarity measurements between cases. As it is hard to select the right preference function for every feature and set the appropriate parameters, a genetic algorithm is used for choosing the right preference functions, or more precisely, for setting the parameters of each preference function, as to set attribute weights. The proposed model is compared to the...
Paper Details
Title
A case-based reasoning model that uses preference theory functions for credit scoring
Published Date
Jul 1, 2012
Volume
39
Issue
9
Pages
8389 - 8395
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