A multi-attribute approach to knowledge representation for loan granting

Authors:
Suzanne Pinson
Affiliations:
Departement Informatique, University Paris II, Paris Cedex 06, France and LAFORIA, CNRS, University Paris VI, Paris Cedex 05, France
Venue:
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Year:
1987

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Abstract

The complexity of finenciel decision-making problems is such that automation of the reasoning process by conventionel approaches is often incomplete or inadequete. This paper describes CREDEX. s knowledge-based system which is being developed to assist bank-loan officers in interpreting end evaluating the activities of firms applying for a loan. CREDEX is written in SNARK. It integrates shallow and deep knowledge through e multi-level structure driven by e mete-expert. The system builds on psychological research on informetion processing and handles risk assessment through a combination of four multi-attribute models.