Lecture 3 - Fuzzy Logic Flashcards
Identify
? is a form of logic that deals with reasoning that is approximate rather than fixed and exact.
2 words
What is ??
Fuzzy Logic
Identify
It mimics human decision-making which is often imprecise.
2 words
What is ??
Fuzzy Logic
Identify
Unlike classical binary logic (true/false), ? operates with degrees of truth.
2 words
What is ??
Fuzzy Logic
Differentiate
- Logic is binary system.
- Logic is a truth spectrum.
- Logic is strict and rigid.
- Logic is flexible, handles uncertainty.
Ex: 1. Classical Logic, 2. Classical Logic, etc.
Classical Logic vs Fuzzy Logic
- Classical Logic
- Fuzzy Logic
- Classical Logic
- Fuzzy Logic
Identify
? means “precise”.
1 word
? Values
Crisp
Identify
It deals with values that have strict boundaries.
2 words
?
Crisp Values
Identify
A ? assigns each element a degree of membership in a fuzzy set.
2 words
?
Membership Functions
Identify
Common shapes: Triangular, Trapezoidal, Singleton, Gaussian, Piecewise Linear
Example: Temperature ? - Cold (0 to 0.3), Warm (0.4 to 0.7), Hot (0.8 to 1)
2 words
?
Membership Functions
Label Process
Convert input into degrees of membership (fuzzy values).
1 word
1/3 ways Fuzzy Logic works in a system
Fuzzification
Label Process
Apply fuzzy rules (if-then statements) to handle data.
2 words
2/3 ways Fuzzy Logic works in a system
Rules Application
Label Process
Convert fuzzy results back into a crisp output.
1 word
3/3 ways Fuzzy Logic works in a system
Defuzzification
Fill in the blanks
Control Systems:
* Temperature control, washing machines, air conditioners
Decision-Making Systems:
* Medical diagnosis, financial market analysis
Artificial Intelligence:
* Robotics, autonomous driving
Natural Language Processing:
* Handing ambiguous terms in human language (e.g. “quite good”)
2 words
Applications of ? in Intelligent Systems
Fuzzy Logic
Explain
Handles uncertainly:
* Ideal for situations with vague or imprecise information.
Human-like reasoning:
* Mimics human decision-making.
Versatility:
* Widely used in various fields.
Advantages of Fuzzy Logic
1 answer = 3
2 answers = 4
3 answers 5
Explain
Subjectivity:
* Membership functions and rules are subjective.
Complexity:
* Large systems with many rules can be hard to manage.
Computational Demand:
* Can be more intensive than traditional logic.
Disadvantages of Fuzzy Logic
1 answer = 3
2 answers = 4
3 answers 5
Identify
? allows reasoning with uncertainty and ambiguity.
2 words
Key Takeaways
Fuzzy Logic
