Title: Multi-attribute classification of credit cardholders: multiset approach
Authors: Alexey B. Petrovsky
Addresses: Institute for System Analysis, Russian Academy of Sciences, Prospect 60 Let Octyabrya 9, Moscow 117312, Russia
Abstract: A new technique for classifying real objects, which is described by many numerical and verbal attributes, is considered in this paper. In this method, general classification rules are generated by a proper approximation of the given set of diverse individual sorting rules. The classification technique is based on the theory of multiset metric spaces, where multisets represent both properties of multi-attribute objects and sorting rules. The proposed technique allows us to operate with contradictory and arbitrary-size data. The presented approach was applied to the cardholder credibility categorisation.
Keywords: multi-attribute objects; multiset metric spaces; multi-attribute classification; decision rules; credit cardholders; cardholder credibility.
DOI: 10.1504/IJMDM.2006.009141
International Journal of Management and Decision Making, 2006 Vol.7 No.2/3, pp.166 - 179
Published online: 06 Mar 2006 *
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