Intro to Fuzzy Logic and Artificial Intelligence
What you'll learn
- The applications of Fuzzy Logic
- The applications of Fuzzy Control
- Fuzzy Logic's uses in Artificial Intelligence
- Operations on Fuzzy Sets
- Operations on Fuzzy Numbers
- Fuzzy Reasoning and its relationship with Traditional Reasoning
- Basic Fuzzy Logic
- Understanding of basic algebra and logic concepts.
Fuzzy Logic isn't often mentioned in the same room as Artificial Intelligence (AI). Pardon the pun, but most people find the idea of fuzzy logic to be fuzzy. However fuzzy logic has been working behind the scenes and bringing forth amazing technological advances for more than two decades. Fuzzy logic is a rule-based system that can rely on the practical experience of a data scientist or an expert. Fuzzy logic is a form of artificial intelligence, thus it is considered a subset of AI. Since it is performing a form of decision making, it can be included as a member of the AI family which includes Machine Learning and Deep Learning.
Fuzzy logic can be applied to both linear systems, nonlinear systems, engineering and non-engineering applications such as stock trading. It has also been used in medical diagnosis systems and in handwriting recognition applications. In fact a fuzzy logic system can be applied to almost any type of system that has inputs and outputs. Hence, familiarity with fuzzy logic is important for the Data Scientist desiring a larger tool box.
In this course you will become more than familiar. You will learn about Fuzzy Logic, its application to Artificial Intelligence and have a strong enough foundation to master Fuzzy Logic.
Who this course is for:
- Students of Fuzzy Control
- Students of Artificial Intelligence
- Students of Machine Learning
- Students of Soft Computing
- Students of Fuzzy Logic
- Students of Data Science
Frank holds a Doctorate in Mathematics and is currently an MBA student with a focus on computing and data science. He loves to teach and help others in any way he can. He has taught online for 15 years and in-person for 19 years at both the secondary and university level.
Besides mathematics, he is interested in education at every level and researching data science, machine learning, fuzzy logic, and mathematical education.
In his free time, Frank likes to read, play piano, play chess, spend time with his family and watch movies.