Automation of Credit Worthiness Appraisal For Small Businesses
Abstract
Using two analytical approaches, the decision matrix credit grading model and the rule-based evidence tree nodal analytical model this paper developed an Expert System (ES) framework for the automation of credit worthiness appraisal for small businesses. The framework provides an interface for inputting data which is pre-analyzed and entered into a three level grading rule based expert system. The result is exported back into the Management Information System (MIS) and forms are drawn up as and when needed based on a combined system recommendation.
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