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The FuzzyLite Libraries for Fuzzy Logic Control refer to fuzzylite (C++), pyfuzzylite (Python), and jfuzzylite (Java). The goal of the FuzzyLite Libraries is to easily design and efficiently operate fuzzy logic controllers following an object-oriented programming model with minimal dependency on external libraries.
fuzzylite is a free and open-source fuzzy logic control library programmed in C++ for multiple platforms (e.g., Windows, Linux, Mac, iOS). jfuzzylite is the equivalent library for Java and Android platforms.
Examples in C++, Python, Java, fll, fld, R, fis, and fcl. Flexibility ¶ Easily extend the library by adding your own linguistic terms, activation methods, T-Norms and S-Norms, defuzzifiers, and hedges.
27 de oct. de 2013 · This tutorial presents an introduction to fuzzy logic controllers. Specifically, this tutorial covers the underlying design and operation of Mamdani fuzzy logic controllers, presents some...
C++ version of qlibs, a collection of useful libraries for embedded systems : signal smoothing, PID control, Fuzzy Logic, fixed-point math and more...
4 de sept. de 2014 · Intro to Fuzzy Logic with C++ Fuzzy Set Calculator Example Program. To understand fuzzy logic, let us take a very simple example. Imagine a simple light bulb which has two states: light on and light off. We can mark the light off as false, and light on as true.
18 de ene. de 2012 · In this article, I will introduce you to my Fuzzy Logic implementation, called FuzzyLogic API. I believe this implementation is simple, effective, and quite fast. Do you know what Fuzzy Logic is?
