The article presents the credit risk assessment models based businesses on fuzzy logic. The starting point for the construction of models was to obtain data on 37 loans taken out by businesses in one of the largest co-operative bank, in Podlaskie. Bank in question does not use any statistical model to make credit decisions. The results of the classification in both the first and second fuzzy model provide a basis to conclude that a systematic approach expertise in fuzzy model based on historical data gives satisfactory results of the classification of borrowers.
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