Fuzzy Set
1.
The height h(A) of a fuzzy set A is defined as
h(A) =sup A(X) where X belongs to A. Then set A called normal when
- H(A)=0
- H(A)=1
- H(A)=0.0
- H(A)=2
2.
Fuzzy logic is a form of
- 2-valued logic
- Crisp set logic
- Many valued logic
- Binary set logic
3.
What is fuzzy approximate Theorem (FAT)
- A fuzzy system can model any continuous system
- The conversion of fuzzy logic to probability
- A continuous system can model any fuzzy system
- Fuzzy paths covering a series of fuzzy rules
4.
What is the way of represent of uncertainty
- Fuzzy logic
- Probability
- Entropy
- All of the above
5.
How fuzzy logic different from conventional
control methods
- IF & THEN approach
- FOR approach
- WHILE approach
- DO approach
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