Description |
The code provided to be using the scikit-fuzzy library to implement a fuzzy logic system. It defines three input variables: neighbors, symmetry, and time, and one output variable: time. It then creates fuzzy membership functions for the input variables using the automf function and defines a set of rules using ctrl.Rule. Finally, it creates a control system, performs simulations, and saves the results in files. The code also includes a section where it generates random data and performs calculations based on the fuzzy logic system. It uses the time_rate control system simulation to compute the output Time based on the input values of Neighbors and Symmetry. The results are then saved in two text files: model_results_visi.txt and model_results_filterout.txt. Additionally, some plots are generated using the matplotlib library and saved as images.
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