Tutorial 2:

Fuzzy Systems Tutorial Series

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3 hours and 45 Video + MATLAB Codes

Fuzzy logic is a powerful tool that can help you deal with uncertainty and imprecision in complex systems. With this tutorial series, you’ll learn how to design and implement fuzzy systems for a wide range of applications, including control, decision making, and pattern recognition. Whether you’re a scientist, engineer, or data analyst, this tutorial series will provide you with the knowledge and skills you need to apply fuzzy logic to your own field and get more accurate and reliable results. This comprehensive tutorial series will guide you through the fundamentals of fuzzy logic, including fuzzy sets, fuzzy rules, and fuzzy reasoning. You will also learn how to design and implement fuzzy systems using the MATLAB software, one of the most widely used tools in the field. By the end of this tutorial, you will be able to apply fuzzy logic to a broad range of fields, including robotics, control systems, and data analysis, and write scientific articles based on your newfound skills. Don’t miss out on this opportunity to master one of the most powerful tools in modern science.

Get these benefits when you purchase our tutorial series:

3 hours and 45 minutes video
Coding and implementation training
MATLAB codes
Practical training of fuzzy technique
Providing tips for writing articles
Teaching the details of inference
Combination with optimization algorithm

Tutorial Chapters

Chapter 1

What is a fuzzy system?

Chapter 2

Implementation in MATLAB

Chapter 3

Fuzzy systems modeling based on Transit Search (2022) optimization algorithm

Chapter 4

Extracting the mathematical framework and presenting it in scientific articles

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