{"library":"scikit-fuzzy","title":"scikit-fuzzy","description":"scikit-fuzzy is a fuzzy logic toolkit for SciPy, providing a robust collection of independently developed and implemented fuzzy logic algorithms. It aims to offer a Pythonic alternative to closed-source fuzzy logic software. The library is currently at version 0.5.0 and receives periodic updates, indicating active maintenance and development.","language":"python","status":"active","last_verified":"Thu Apr 16","install":{"commands":["pip install -U scikit-fuzzy"],"cli":null},"imports":["import skfuzzy as fuzz","from skfuzzy import control as ctrl","import numpy as np","from matplotlib import pyplot as plt"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import numpy as np\nimport skfuzzy as fuzz\nimport matplotlib.pyplot as plt\n\n# Generate universe variables\nx = np.arange(0, 11, 1) # Points from 0 to 10\n\n# Generate fuzzy membership functions\nlow = fuzz.trimf(x, [0, 0, 5])\nmedium = fuzz.trimf(x, [0, 5, 10])\nhigh = fuzz.trimf(x, [5, 10, 10])\n\n# Visualize these universes and membership functions\nplt.figure()\nplt.plot(x, low, 'b', linewidth=1.5, label='Low')\nplt.plot(x, medium, 'g', linewidth=1.5, label='Medium')\nplt.plot(x, high, 'r', linewidth=1.5, label='High')\nplt.title('Fuzzy Membership Functions')\nplt.ylabel('Membership value')\nplt.xlabel('Universe Variable')\nplt.legend()\nplt.grid(True)\nplt.show()","lang":"python","description":"This quickstart demonstrates how to define a universe of discourse using NumPy and then create triangular fuzzy membership functions using `fuzz.trimf`. It then plots these membership functions using Matplotlib to visualize the fuzzy sets. This is a fundamental step in building any fuzzy logic system with scikit-fuzzy.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}