A Multi-Attribute Approach to Knowledge Representation for Loan Granting
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. I
Cite
Text
Pinson. "A Multi-Attribute Approach to Knowledge Representation for Loan Granting." International Joint Conference on Artificial Intelligence, 1987.Markdown
[Pinson. "A Multi-Attribute Approach to Knowledge Representation for Loan Granting." International Joint Conference on Artificial Intelligence, 1987.](https://mlanthology.org/ijcai/1987/pinson1987ijcai-multi/)BibTeX
@inproceedings{pinson1987ijcai-multi,
title = {{A Multi-Attribute Approach to Knowledge Representation for Loan Granting}},
author = {Pinson, Suzanne},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1987},
pages = {588-591},
url = {https://mlanthology.org/ijcai/1987/pinson1987ijcai-multi/}
}