Fuzzy Logic: Quick Start Guide

Artificial Intelligence & Soft Computing with MATLAB

About Course:

What you’ll learn

  • You will have clear idea about ‘what fuzzy logic is?’.
  • You will be able to apply fuzzy logic to different applications of your relevant field..
  • You will have skill to develop fuzzy logic system for various applications in MATLAB fuzzy logic tool box..
  • You will be able to interface fuzzy logic system in MATLAB Simulink environment..

Course Content

  • Course Introduction –> 1 lecture • 3min.
  • Understand & Implement Fuzzy Logic with MATLAB –> 9 lectures • 1hr 27min.
  • Temperature Controlled FAN –> 2 lectures • 23min.
  • Fuzzy Logic in Four Steps –> 3 lectures • 41min.
  • Fuzzy Logic Based Washing Machine –> 1 lecture • 15min.
  • Applications –> 1 lecture • 5min.
  • Fuzzy Logic Controller (FLC) –> 2 lectures • 14min.
  • Simulation of Fuzzy Based DC Motor Controller –> 3 lectures • 40min.
  • Course Resources –> 1 lecture • 1min.

Fuzzy Logic: Quick Start Guide


  • There is no prerequisites, anyone can understand the concept of fuzzy logic.

About Course:

Course is designed to understand concept of Fuzzy Logic & its implementation in MATLAB


Fuzzy Logic & ANN (Artificial Neural Network) are two most important tools of Artificial Intelligence & Machine Learning. This course is design to explain Fuzzy Logic Controller in most simplified way. Course flow is specially designed for quick start straight through applications & implementation. It mainly focuses on implementation of Fuzzy Logic with MATLAB toolbox and its interface in Simulink environment.

What’s unique in this course?

  • Course contents & it’s flow are designed to understand concept of fuzzy logic in most simplified manner
  • It is designed and executed to get quick hands-on practices on various real life examples with MATLAB Fuzzy Logic Tool Box and its interface with Simulink.
  • Course is designed to cover all branches and filed including engineering & science, medical, finance, management and more.
  • Course will be updates continuously as much as possible with new applications and implementation of Fuzzy Logic.
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