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Soft Computing: Fuzzy Rules, Reasoning, and Inference System
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Soft Computing: Fuzzy Rules, Reasoning, and Inference System
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25 Questions

1. Fuzzy relation is a fuzzy set defined on the Cartesian product of ....
2. Fuzzy relation associates .... to a varying degree of membership.
3. The number of elements in a set is called its ....-
4. If A and B are two fuzzy sets with membership functions: μA(x) = {0.6, 0.5, 0.1, 0.7, 0.8} μB(x) = {0.9, 0.2, 0.6, 0.8, 0.5}. Then the value of μ(A∪B)'(x) will be
5. Perceptron learning, Delta learning and LMS learning are learning methods which falls under the category of
6. What are the following sequence of steps taken in designing a fuzzy logic machine ?
7. ......
8. A set with a single element is called ....
9. Given U = {1,2,3,4,5,6,7} A = {(3, 0.7), (5, 1), (6, 0.8)} . Then A will be: (where ~ → complement)
10. Conversion of a fuzzy set to single crisp value is called ......
11. The ...... are obtained by computing the minimum of the membership functions of the antecedents.
12. Suppose the function y and a fuzzy integer number around -4 for x are given as y= (x-3)2 + 2. Around -4 = {(2, 0.3), (3, 0.6), (4, 1), (5, 0.6), (6, 0.3)} respectively. Then f (Around -4) is given by:
13. Fuzzy cruise controller has ..... inputs
14. In propositional logic, .....- widely used for inferring facts.
15. A __________ point of a fuzzy set A is a point x ∈ X at which µA(x) = 0.5
16. In case of => operator, the proposition occurring before the .
17. Fuzziness means .
18. A fuzzy set A on R is .
19. Raising a fuzzy set to its second power is called .....
20. .....- are pictorial representations to denote a set
21. ...... represent objects that do not change values
22. A .....
23. Taking a square root of fuzzy set is called ......-
24. Relative quantifiers are defined as ...
25. A formula which has all its interpretations recording true is known as a .....-

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