Fuzzy System and fuzzy logic -MCQ
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This document contains 20 multiple choice questions about fuzzy systems and fuzzy logic. The questions cover topics such as crisp vs fuzzy set theory, linguistic variables, membership functions, types of membership functions, implementing fuzzy logic in hardware and software, examples of fuzzy logic rules and operations, and key concepts related to fuzzy sets like universe of discourse, core, support and boundary. The document provides the question, possible answers, and an explanation for the correct answer for each multiple choice question.
![11. If Z is a set of elements with a generic element z, i.e. Z = {z}, then this set is
called _____________
a) Universe set
b) Universe of discourse
c) Derived set
d) None of the mentioned
Answer: b
Explanation: It is called the universe of discourse.
12. A fuzzy set ‘A’ in Z is characterized by a ____________ that associates
with element of Z, a real number in the interval [0, 1].
a) Grade of membership
b) Generic element
c) Membership function
d) None of the mentioned
Answer: c
Explanation: A fuzzy set is characterized by a membership function.](https://image.slidesharecdn.com/scmcqpptpart4-210829112015/85/Fuzzy-System-and-fuzzy-logic-MCQ-7-320.jpg)
Fuzzy System and fuzzy logic -MCQ
- 1. FUZZY SYSTEM Important MCQs For Online Exam SOFT COMPUTING
- 2. 1. Traditional set theory is also known as Crisp Set theory. a) True b) False Answer: a Explanation: Traditional set theory set membership is fixed or exact either the member is in the set or not. There is only two crisp values true or false. In case of fuzzy logic there are many values. With weight say x the member is in the set. 2. The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ a) Fuzzy Set b) Crisp Set c) Fuzzy & Crisp Set d) None of the mentioned Answer: a Explanation: Fuzzy logic deals with linguistic variables.
- 3. 3. The values of the set membership is represented by ___________ a) Discrete Set b) Degree of truth c) Probabilities d) Both Degree of truth & Probabilities Answer: b Explanation: Both Probabilities and degree of truth ranges between 0 – 1. 4. ______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned Answer: d Explanation: Entropy is amount of uncertainty involved in data. Represented by H(data).
- 4. 5. ____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned Answer: c Explanation: Local structure is usually associated with linear rather than exponential growth in complexity. 6. A robot is a __________ a) Computer-controlled machine that mimics the motor activities of living things b) Machine that thinks like a human c) Machine that replaces a human by performing complex mental processing tasks d) Type of virtual reality device that takes the place of humans in adventures Answer: a Explanation: Robots are computer-controlled machines that mimic the motor activities of living things.
- 5. 7. Perception system robots are : a) Act as a transportation system, like a “mail mobile” b) Imitate some human senses c) Perform manufacturing tasks like painting cars d) Are another name for virtual reality Answer: b Explanation: Perception system robots imitate some of the human senses. 8. Robots used in automobile plants would be classified as : a) Perception systems b) Industrial robots c) Mobile robots d) Knowledge robots Answer: b Explanation: Industrial robots are used in automobile plants.
- 6. 9. What is the set generated using infinite-value membership functions, called? a) Crisp set b) Boolean set c) Fuzzy set d) All of the mentioned Answer: c Explanation: It is called fuzzy set. 10. Which is the set, whose membership only can be true or false, in bi- values Boolean logic? a) Boolean set b) Crisp set c) Null set d) None of the mentioned Answer: b Explanation: The so called Crisp set is the one in which membership only can be true or false, in bi-values Boolean logic.
- 7. 11. If Z is a set of elements with a generic element z, i.e. Z = {z}, then this set is called _____________ a) Universe set b) Universe of discourse c) Derived set d) None of the mentioned Answer: b Explanation: It is called the universe of discourse. 12. A fuzzy set ‘A’ in Z is characterized by a ____________ that associates with element of Z, a real number in the interval [0, 1]. a) Grade of membership b) Generic element c) Membership function d) None of the mentioned Answer: c Explanation: A fuzzy set is characterized by a membership function.
- 8. 13. Which of the following is a type of Membership function? a) Triangular b) Trapezoidal c) Sigma d) All of the mentioned Answer: d Explanation: All of them are types of Membership functions. 14. Which of the following is not a type of Membership function? a) S-shape b) Bell shape c) Truncated Gaussian d) None of the mentioned Answer: d Explanation: All of the mentioned above are types of Membership functions.
- 9. 15. Fuzzy Logic can be implemented in? A.Hardware B. software C. Both A and B D. None of the Above Ans : C Explanation: It can be implemented in hardware, software, or a combination of both. 16. What action to take when IF (temperature=Warm) AND (target=Warm) THEN? A. Heat B. No_Change C. Cool D. None of the Above Ans : B Explanation: IF (temperature=Warm) AND (target=Warm) THEN No_change
- 10. 17. The membership functions are generally represented in A. Tabular Form B. Graphical Form C. Mathematical Form D. Logical Form Ans : B 18. Membership function can be thought of as a technique to solve empirical problems on the basis of A. Knowledge B. Examples C. Learning D. Experience Ans : D
- 11. 19. Three main basic features involved in characterizing membership function are A. Intuition, Inference, Rank Ordering B. Fuzzy Algorithm, Neural network, Genetic Algorithm C. Core, Support , Boundary D. Weighted Average, center of Sums, Median Ans : C
- 12. 20. The region of universe that is characterized by complete membership in the set is called A. Core B. Support C. Boundary D. Fuzzy Ans : A
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