Fig. 10
From: A dynamic credit risk assessment model with data mining techniques: evidence from Iranian banks
Fuzzy inference system. The Fuzzy Inference System (FIS) provides a systematic process for converting a knowledge-based system into a nonlinear mapping. The first component of the system is a fuzzification that converts the numerical values of input variables to a fuzzy set. The second component includes a fuzzy rule base that is a set of if-then rules and a fuzzy inference engine that converts the inputs into a series of outputs. And finally, a defuzzification component that converts the fuzzy output to a definite number