Nowadays, the customer's credit assessment is one of most important challenges for managers in decision making. Especially in the current situation which the number scam has increased and outstanding claims of Business Company is increasing. On the other hand decision making about customers and their credit is based on expert judgment and also the customer Information is often uncertain, ambiguous and inaccessible. So Experts based on evidence, documentation, quality information and their experiences, often with linguistic variables describe their customers and judge about them. In this research, with using the advantages of fuzzy logic and expert systems, a fuzzy expert system for solving this problem has been presented which utilizing Mamdani Inference method for inference. Finally, the system was designed and implemented in Alborz Distribution Company, and it showed 91.25 percent accuracy of the system in the customer's credit rating.
Barzdeh, M., & Taghavi Fard, M. (2013). Design and Development of a Fuzzy Rule-Based Expert System for Customers Credit Scoring of Business Company: Case Study Alborz Distribution Company. Journal of Business Management, 5(2), 17-46. doi: 10.22059/jibm.2013.36022
MLA
Mohammad Barzdeh; Mohammad Taghavi Fard. "Design and Development of a Fuzzy Rule-Based Expert System for Customers Credit Scoring of Business Company: Case Study Alborz Distribution Company". Journal of Business Management, 5, 2, 2013, 17-46. doi: 10.22059/jibm.2013.36022
HARVARD
Barzdeh, M., Taghavi Fard, M. (2013). 'Design and Development of a Fuzzy Rule-Based Expert System for Customers Credit Scoring of Business Company: Case Study Alborz Distribution Company', Journal of Business Management, 5(2), pp. 17-46. doi: 10.22059/jibm.2013.36022
VANCOUVER
Barzdeh, M., Taghavi Fard, M. Design and Development of a Fuzzy Rule-Based Expert System for Customers Credit Scoring of Business Company: Case Study Alborz Distribution Company. Journal of Business Management, 2013; 5(2): 17-46. doi: 10.22059/jibm.2013.36022
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