Multi-agent system for credit scoring

• Author(s): Silva, Fábio ; Analide, César
• Date: 2011
• Persistent ID: http://hdl.handle.net/1822/16189
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Credit scoring; Client Evaluation; Machine Learning; Intelligent Agents
• Document Type: Article
• Language: English

Description

The use of multi-agent systems to solve complex problems in today’s world is not a new approach. Nevertheless, there has been a growing interest in using its properties in conjunction with machine learning and data mining techniques in order to build smarter systems. A multi-agent system able to classify and recommend attribute values in an instance of a dataset is presented and intended to provide to the end user a better understanding of both the classification in the dataset and client possibilities to obtain a good classification. The multi-agent system presented will have the ability to classify a user credit application and suggest different values for its attributes under assessment.