Intro to Fuzzy Logic and Artificial Intelligence

Intro to Fuzzy Logic and Artificial Intelligence, available at $39.99, has an average rating of 3.6, with 24 lectures, based on 10 reviews, and has 57 subscribers.

You will learn about 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 This course is ideal for individuals who are Students of Fuzzy Control or Students of Artificial Intelligence or Students of Machine Learning or Students of Soft Computing or Students of Fuzzy Logic or Students of Data Science It is particularly useful for Students of Fuzzy Control or Students of Artificial Intelligence or Students of Machine Learning or Students of Soft Computing or Students of Fuzzy Logic or Students of Data Science.

Enroll now: Intro to Fuzzy Logic and Artificial Intelligence

Summary

Title: Intro to Fuzzy Logic and Artificial Intelligence

Price: $39.99

Average Rating: 3.6

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Students of Fuzzy Control
Students of Artificial Intelligence
Students of Machine Learning
Students of Soft Computing
Students of Fuzzy Logic
Students of Data Science

Target Audiences

Students of Fuzzy Control
Students of Artificial Intelligence
Students of Machine Learning
Students of Soft Computing
Students of Fuzzy Logic
Students of Data Science

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Soft Computing

Lecture 3: Intro to Fuzzy Sets

Chapter 2: Crisp or Traditional Sets

Lecture 1: Definition of Classical Sets

Lecture 2: Operations on Crisp Sets

Lecture 3: Characteristic Functions

Chapter 3: Fuzzy Sets

Lecture 1: Membership Functions

Lecture 2: Notation of Fuzzy Sets

Lecture 3: Fuzzy Sets and Computers

Chapter 4: Functions and Fuzzy Relations

Lecture 1: Definitions

Lecture 2: Fuzzy Rules

Lecture 3: Alpha Cuts

Lecture 4: Extension Principle

Lecture 5: Operations on Fuzzy Numbers

Lecture 6: Crisp or Traditional relations

Lecture 7: Fuzzy Relations

Lecture 8: Fuzzy Projections

Chapter 5: Artificial Intelligence and Fuzzy Reasoning

Lecture 1: Composition

Lecture 2: Application of Composition

Lecture 3: Fuzzy Control

Lecture 4: Fuzzy Reasoning

Lecture 5: Mamdani Method

Lecture 6: Fuzzy Relations and Compositional Rules

Lecture 7: Compositional Rule: Example

Instructors

Frank Rogers
"Mathematician and Data Enthusiast"

Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 4 votes
5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu