Abstract
In this paper we address bank evaluation of clients in lending credit, based on qualitative attributes. Till now, the banks have dodged to face this part of the lending credit. There are several reasons for this. One is the impossibility of using a statistical approach; the variables are linguistic attributes, not numbers. Another one, which we think really serious, is the difficulty of fixing which qualitative attributes are important. Every bank uses a personal contact with the client, the experts have not a unique behaviour. Here we present a sketch of our work, performed with an Italian bank, in which a fuzzy approach is used. In particular, we have used two different methods: a fuzzy expert system and a fuzzy cluster method.
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Facchinetti, G., Mastroleo, G. (2005). A fuzzy way to evaluate the qualitative attributes in bank lending creditworthiness. In: Saeed, K., Pejaś, J. (eds) Information Processing and Security Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-26325-X_27
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DOI: https://doi.org/10.1007/0-387-26325-X_27
Publisher Name: Springer, Boston, MA
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