The fuzzy-nets based approach in optimization of machining processes

In this research, a self-organizing fuzzy-nets optimization (FNO) system is developed to generate a knowledge bank that can show the required cutting power to be on-line for a short length of time in an NC verifier. The FNO system requires a self-learning procedure consisting of five steps. A generic system consisting of a fuzzification module and a defuzzification module is implemented to perform the procedure.