Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. This approach is similar to how humans perform decision-making. And it involves all intermediate possibilities between YES and NO.

The conventional logic block that a computer understands takes precise input and produces a definite output as TRUE or FALSE, which is equivalent to a human being’s YES or NO. The Fuzzy logic was invented by Lotfi Zadeh who observed that, unlike computers, humans have a different range of possibilities between YES and NO, such as:

Generally, we use the fuzzy logic system for both commercial and practical purposes such as:

• It controls machines and consumer products
• If not accurate reasoning, it at least provides acceptable reasoning
• This helps in dealing with the uncertainty in engineering

So, now that you know about Fuzzy logic in AI and why we actually use it, let’s move on and understand the architecture of this logic.

The Fuzzy logic works on the levels of possibilities of input to achieve a definite output. Now, talking about the implementation of this logic:

•  It can be implemented in systems with different sizes and capabilities such as micro-controllers, large networked, or workstation-based systems.
• Also, it can be implemented in hardware, software, or a combination of both.