The Complete Course of Fuzzy Logic 2023

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Tools Academy

11:29:56

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1. Introduction to Fuzzy Logic

1. Crisp set, fuzzy set, Crisp sets vs. fuzzy sets.mp4

12:35

2. Fuzzy Logic, Origins and applications of Fuzzy Logic.mp4

08:17

3. Fuzzy sets and membership functions.mp4

06:22

4. PyCharm software installation.mp4

03:45

2. Fuzzy Set Theory

1. Expansions of fuzzy set.mp4

12:15

2. Fuzzy set operations (Union, Intersection, Complement).mp4

16:33

3. Linguistic variables & linguistic terms, Fuzzy logic systems & their components.mp4

12:39

3. Fuzzy Properties, Extension principle, Interval-valued and Complex Fuzzy Set

1. Fuzzy relations and their properties.mp4

18:38

2. Extension principle and the concept of fuzzy membership - Part 1.mp4

06:14

3. Extension principle and the concept of fuzzy membership - Part 2.mp4

20:13

4. Interval-valued fuzzy set and example.mp4

06:24

5. Complex fuzzy set and example.mp4

15:56

4. Intuitionistic Fuzzy Set and Pythagorean

1. Intuitionistic fuzzy set, Pythagorean fuzzy set and examples.mp4

33:43

2. Interval-valued intutionistic & interval-valued Pythagorean fuzzy set & examples.mp4

18:06

3. Complex Intuitionistic fuzzy set, Complex Pythagorean fuzzy set and examples.mp4

10:27

5. Rough set, Soft Set, Picture fuzzy set, and Spherical fuzzy set

1. Rough set and examples.mp4

25:26

2. Soft Set and examples.mp4

27:43

3. Picture fuzzy set and examples.mp4

14:12

4. Spherical fuzzy set and examples.mp4

12:49

6. Fuzzy Group

1. Fuzzy group.mp4

17:08

2. Properties and examples.mp4

17:28

7. Fuzzy Logic Systems

1. Fuzzification, inference, and defuzzification.mp4

34:30

2. Mamdani fuzzy inference system.mp4

18:15

3. Sugeno fuzzy inference system, Tsukamoto fuzzy inference system.mp4

26:37

8. Fuzzy Rule-Based Systems

1. Introduction to fuzzy rule-based systems, Rule interpolation and extrapolation.mp4

10:31

2. Linguistic rules and rule base, Rule-based reasoning and inference methods.mp4

09:50

3. Rule aggregation methods (Mamdani, Max-Min, Weighted Average).mp4

10:30

9. Fuzzy Controllers

1. Fuzzy control systems, Fuzzy rule-based control.mp4

19:25

2. Fuzzy logic-based decision-making, Fuzzy PID controllers.mp4

12:32

3. Adaptive and self-learning fuzzy controllers.mp4

08:54

10. Fuzzy Logic Applications

1. Applications in engineering, in finance and economics, and in image processing.mp4

20:18

2. Fuzzy control in industrial automation, in robotics and autonomous systems.mp4

11:53

11. Fuzzy Sets and Uncertainty

1. Uncertainty and imprecision in real-world problems.mp4

17:29

2. Fuzzy sets and probability theory, Fuzzy measures and possibility theory.mp4

26:00

3. Fuzzy logic for handling uncertainty, Fuzzy logic and expert systems.mp4

13:27

12. Fuzzy Decision-Making

1. Fuzzy decision-making process,Fuzzy decision analysis techniques.mp4

22:36

2. Fuzzy decision models (MADM, MAVT, TOPSIS).mp4

24:46

3. Case studies on fuzzy decision-making,Fuzzy decision support systems.mp4

07:05

13. Advanced Topics in Fuzzy Logic

1. Type-2 fuzzy logic systems, Fuzzy neural networks.mp4

16:05

2. Fuzzy clustering and classification, Fuzzy control optimization techniques.mp4

17:46

14. Different aggregation operators and Numerical Examples

1. Different aggregation operators on defined sets.mp4

18:48

2. Numerical Examples.mp4

13:40

15. Extra section Applications and Future Trends

1. Applications and Future Trends.mp4

12:06

Description

Become an expert in Fuzzy Logic and Control Systems using Python in a Professional way.

What You'll Learn?

At the end of the course you will fully master Fuzzy Logic, to be able to implement control models to solve engineering problems
You will be able to build step by step your own Python Fuzzy Logic models, understanding all the logic and ending with advanced practical examples and projects
You will become familiar with the work environment, essential commands, and you will master all the phases of the design
You will fully learn Fuzzy Set Fundamentals Theory and Fuzzy Set Practice using interval-valued, intuitionistic, pythagorean, rough, soft, spherical set...
You will work with Fuzzy Logic Systems, Fuzzy Rule-Based Systems, Fuzzy Controllers, Fuzzy Groups, and Fuzzy Sets and Uncertainty
You will master all the Fuzzy Logic and Fuzzy Control Applications in engineering, economics and industry
You will learn the Fuzzy Decision-Making and the Fuzzy decision models (MADM, MAVT, TOPSIS), understanding their interpretation
You will understand Fuzzy neural networks, clustering & classification, control optimization techniques, different aggregation operators and numerical examples
You will be able to practice the content learned in a practical way by following all the steps in the complete exercises and projects
You will start with the basics and progressively carry out more complex steps until you reach an advanced level and absolute mastery at the end of the course

Who is this for?

Beginners who have never implemented Fuzzy Logic systems before

Engineers, Control System technicians, students... who want to learn a new way to implement control systems and simulate real world projects easily

Intermediate or advanced Fuzzy Logic students who want to improve their skills even more!

What You Need to Know?

Having basic notions of control engineering and fuzzy logic can help, but the course starts from scratch

Download and install PyCharm and required software (if you don't know how, don't worry, it's very easy, free and I'll explain it to you in the course!)

A decent computer and of course, desire to learn!

More details

Description
Become a Fuzzy Logic professional and learn one of employer's most requested skills nowadays!
This comprehensive course is designed so that students, control system technicians,Â engineers, Control System Engineering enthusiasts... can learn Fuzzy Logic from scratch to use it in a practical and professional way. Never mind if you have no experience in the topic, you will be equally capable of understanding everything and you will finish the course with total mastery of the subject.
After several years working as an Engineer, I have realized that nowadays mastering Fuzzy Logic is very necessary to implement control systems, carry out simulation models, or other engineering applications. Knowing how to use this language can give you many job opportunities and many economic benefits, especially in the world of the Control engineering.
The big problem has always been the complexity to perfectly understand Fuzzy Logic it requires, since its absolute mastery is not easy. In this course I try to facilitate this entire learning and improvement process, so that you will be able to carry out and understand your own projects in a short time, thanks to the step-by-step and detailed examples of every concept, starting from the basic theory and practicing with hands-on exercises.
With more than 11 exclusive hours of video, this comprehensive course leaves no stone unturned! It includes both practical exercises and theoretical examples to master Fuzzy Logic. The course will teach you Fuzzy Logic with Python programming in a practical way, from scratch, and step by step.
We will start with the installation of needed software and work environment on your computer, regardless of your operating system and computer.
Then, we'll cover a wide variety of topics, including:
Introduction to Fuzzy Logic and course dynamics
Download and Install PyCharm latest version and configuring it
General familiarization with the work environment and commands
Fuzzy Set Fundamentals Theory and Fuzzy Set Practice using interval-valued, intuitionistic, pythagorean, rough, soft, picture, spherical fuzzy set, etc.
Fuzzy Logic Systems, Fuzzy Rule-Based Systems, Fuzzy Controllers and Fuzzy Groups
Fuzzy Logic and Fuzzy Control Applications in engineering, economics and industry
Fuzzy Sets and Uncertainty
Fuzzy Decision-Making and Fuzzy decision models (MADM, MAVT, TOPSIS)
Fuzzy neural networks, clustering and classification, control optimization techniques, different aggregation operators and numerical examples
Mastery and application of absolutely ALL the functionalities of Fuzzy Logic with Python
Applications and Future trends, Practical exercises, complete projects and much more!
In other words, what I want is to contribute my grain of sand and teach you all those things that I would have liked to know in my beginnings and that nobody explained to me. In this way, you can learn to solve a wide variety of engineering projects quickly and make versatile and complete use of Fuzzy Logic systems. And if that were not enough, you will get lifetime access to any class and I will be at your disposal to answer all the questions you want in the shortest possible time.
Learning Fuzzy Logic has never been easier. What are you waiting to join?
Who this course is for:
Beginners who have never implemented Fuzzy Logic systems before
Engineers, Control System technicians, students... who want to learn a new way to implement control systems and simulate real world projects easily
Intermediate or advanced Fuzzy Logic students who want to improve their skills even more!

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Hi everybody! We are a group of engineers who are passionate about the world of technology, computing and the use of software.Some of us are also university professors but above all we are passionate about learning. We think that the basis of happiness is in always discovering new things and never stopping improving. Of course, like almost everyone, we like to enjoy free time with friends and traveling.And most importantly, we love helping people, I think it is the most fulfilling thing in our daily lives. With our classes I try to do our bit to teach others all those things that we would have loved to know in the beginning and that no one told us.¡Buenas! Somos un grupo de ingenieros un apasionados del mundo de la tecnología, la informática y el uso de softwares.También algunos somos profesores universitarios pero sobre todo nos apasiona aprender. Pensamos que la base de la felicidad está en descubrir siempre cosas nuevas y no parar de mejorar. Eso sí, como a casi todos, nos gusta disfrutar del tiempo libre con amigos y viajando.Y lo más importante, nos encanta ayudar a las personas, creo que es la cosa que más llena en el día a día. Con nuestras clases intento aportar nuestro granito de arena para enseñar a los demás todas esas cosas que nos habría encantado saber en los inicios y que nadie nos contó.

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