Multi-attribute classification of credit cardholders: multiset approach

Alexey B. Petrovsky

International Journal of Management and Decision Making, 2006, vol. 7, issue 2/3, 166-179

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. (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmdma:v:7:y:2006:i:2/3:p:166-179

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