By: Prof. Dr. Fazal Rehman | Last updated: November 25, 2024
Q1: In fuzzy logic, what does a membership function represent?
(A) A function that maps each input to a fuzzy set
(B) A function that maps each input to a crisp value
(C) A function that maps fuzzy sets to outputs
(D) A function that computes the degree of truth of an input
Answer: (A) A function that maps each input to a fuzzy setQ2: In fuzzy logic, which of the following is NOT a commonly used t-norm (triangular norm)?
(A) Minimum T-norm
(B) Product T-norm
(C) Maximum T-norm
(D) Lukasiewicz T-norm
Answer: (C) Maximum T-normQ3: What is the output of a fuzzy inference system?
(A) A crisp output from a fuzzy set
(B) A fuzzy output
(C) A set of rules
(D) A continuous function
Answer: (B) A fuzzy outputQ4: Which of the following is a key feature of fuzzy logic compared to classical Boolean logic?
(A) Fuzzy logic allows partial membership values between 0 and 1
(B) Fuzzy logic uses only true and false values
(C) Fuzzy logic does not use set theory
(D) Fuzzy logic operates only with continuous variables
Answer: (A) Fuzzy logic allows partial membership values between 0 and 1Q5: Which method is commonly used in fuzzy logic to perform the aggregation of multiple fuzzy sets?
(A) Minimum aggregation
(B) Maximum aggregation
(C) Arithmetic mean aggregation
(D) Weighted average aggregation
Answer: (D) Weighted average aggregationQ6: What is the primary advantage of using fuzzy logic in control systems?
(A) It allows for precise control based on exact measurements
(B) It simplifies complex control systems into binary decisions
(C) It allows for handling of imprecision and uncertainty in decision-making
(D) It eliminates the need for human intervention in control systems
Answer: (C) It allows for handling of imprecision and uncertainty in decision-makingQ7: In fuzzy logic, what does defuzzification refer to?
(A) Converting a fuzzy output to a crisp value
(B) Mapping input values to fuzzy sets
(C) Combining multiple fuzzy sets into one
(D) Defining membership functions for fuzzy sets
Answer: (A) Converting a fuzzy output to a crisp valueQ8: What is the purpose of fuzzy rules in a fuzzy inference system?
(A) To provide crisp inputs for fuzzy sets
(B) To convert crisp outputs to fuzzy outputs
(C) To map fuzzy inputs to fuzzy outputs based on certain conditions
(D) To optimize the membership function of fuzzy sets
Answer: (C) To map fuzzy inputs to fuzzy outputs based on certain conditions
