A Multi-Attribute Approach to Knowledge Representation for Loan Granting
نویسنده
چکیده
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.
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