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Multi-attribute classification of credit cardholders: multiset approach

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  • Alexey B. Petrovsky

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.

Suggested Citation

  • Alexey B. Petrovsky, 2006. "Multi-attribute classification of credit cardholders: multiset approach," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 7(2/3), pages 166-179.
    • Handle: RePEc:ids:ijmdma:v:7:y:2006:i:2/3:p:166-179
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