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What is Fuzzy Logic in AI and
What are its Applications?
In our day to day life, we might face situations
where we are unable to determine whether the
state is true or false.
Fuzzy refers to something which is unclear or
vague. Fuzzy Logic in AI provides valuable
flexibility for reasoning.
What is Fuzzy Logic?
• 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:
• 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.
Why do we use Fuzzy Logic?
• 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
Applications of Fuzzy Logic
• The Fuzzy logic is used in various fields such as automotive
systems, domestic goods, environment control, etc. Some of the
common applications are:
• It is used in the aerospace field for altitude control of spacecraft
and satellite.
• This controls the speed and traffic in the automotive systems.
• It is used for decision making support systems and personal
evaluation in the large company business.
Applications of Fuzzy Logic
• It also controls the pH, drying, chemical distillation process
in the chemical industry.
• Fuzzy logic is used in Natural language processing and
various intensive applications in Artificial Intelligence.
• It is extensively used in modern control systems such as
expert systems.
• Fuzzy Logic mimics how a person would make decisions,
only much faster. Thus, you can use it with Neural Networks.

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What is Fuzzy Logic in AI and applications.pptx

  • 1. What is Fuzzy Logic in AI and What are its Applications?
  • 2. In our day to day life, we might face situations where we are unable to determine whether the state is true or false. Fuzzy refers to something which is unclear or vague. Fuzzy Logic in AI provides valuable flexibility for reasoning.
  • 3. What is Fuzzy Logic? • 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.
  • 4.
  • 5. • 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:
  • 6.
  • 7. • 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.
  • 8. Why do we use Fuzzy Logic? • 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
  • 9. Applications of Fuzzy Logic • The Fuzzy logic is used in various fields such as automotive systems, domestic goods, environment control, etc. Some of the common applications are: • It is used in the aerospace field for altitude control of spacecraft and satellite. • This controls the speed and traffic in the automotive systems. • It is used for decision making support systems and personal evaluation in the large company business.
  • 10. Applications of Fuzzy Logic • It also controls the pH, drying, chemical distillation process in the chemical industry. • Fuzzy logic is used in Natural language processing and various intensive applications in Artificial Intelligence. • It is extensively used in modern control systems such as expert systems. • Fuzzy Logic mimics how a person would make decisions, only much faster. Thus, you can use it with Neural Networks.