Soft Computing And Optimization Algorithms mcq | Fuzzy Logic

Below are some of the most important Soft Computing And Optimization Algorithms mcq (SCOA mcq) especially focusing on fuzzy logic mcq part of Soft Computing And Optimization Algorithms sppu, mu and other universities. These are the soft computing mcq set basically providing you the multiple choice question on Fuzzy logic topic that will be definitely helpful to gain knowledge of SCOA.

Fuzzy Logic mcq

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SCOA mcq

Q. Fuzzy logic is :
A. Used to respond to questions in a human like way
B. A new programming language used to program animation
C. The result of fuzzy thinking
D. A term that indicates logical values greater than one

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Used to respond to questions in a human like way

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Q. What are the following sequence of steps taken in designing a fuzzy logic machine?
A. Rule evaluation->Fuzzification->Defuzzification
B. Fuzzification->Rule evaluation->Defuzzification
C. Fuzzy Sets->Defuzzification->Rule evaluation
D. Defuzzification->Rule evaluation->Fuzzification

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Fuzzification->Rule evaluation->Defuzzification

Q. Fuzzy logic is a form of
A. Two-valued logic
B. Crisp set logic
C. Many-valued logic
D. Binary set logic

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Many-valued logic

Q. The height h(A) of a fuzzy set A is defined as h(A) = sup A(x)
A. h(A) = 0
B. h(A) <0
C. h(A)=1
D. h(A)<1

h(A)=1

Q. Assumptions in Fuzzy Logic Control (FLC) Design
A. Existence of a knowledge body
B. Range of precision
C. The plant is observable and controllable
D. All of the above

All of the above

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Top 60 most asked Soft Computing mcq questions | SCOA mcq

Q. Fuzzy logic uses
A. Global variables
B. Linguistic variables
C. Local variables
D. Approximate variables

Linguistic variables

Q. ________ as an operator acts on fuzzy set representing meaning of its operand
A. Defuzzification
B. Truth table
C. Linguistic hedges
D. Propositions

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Linguistic hedges

Q. The major components of the FLC
A. Fuzzifier & Defuzzifier
B. Fuzzy Rule Base & Knowledge Base
C. Inference Engine
D. All of the above

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All of the above

Q. Which of the following not an Advantages of Fuzzy Logic Control
A. Cheaper
B. Robust
C. Reliability
D. Expensive

Expensive

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Q. Examples of Fuzzy quantifiers are words like
A. Most
B. Many
C. Few
D. All of the above

All of the above

Q. Fuzzy truth qualification claims the degree of truth of fuzzy proposition
A. True
B. False

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True

Soft Computing And Optimization Algorithms mcq

Q. Propositions in fuzzy logic involves
A. Fuzzy predicate
B. Fuzzy Quantifier
C. Fuzzy Qualifier
D. All of the above

All of the above

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Q. Assignment statement; II: Conditional statement; III: Unconditional statement
A. Only I
B. Only I & II
C. Only I, II & III
D. Only II & III

Only I, II & III

Q. Methods used for decomposition of rules
A. Multiple conjunctive antecedents
B. Multiple disjunctive antecedents
C. Conditional statement
D. All of the above

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All of the above

Q. Multiple conjunctive antecedents based on
A. Fuzzy union operation
B. Fuzzy intersection operation
C. Fuzzy condition operation
D. Fuzzy difference operation

Fuzzy intersection operation

Q. Two methods of Aggregation of fuzzy rules
A. Conjunctive system of rules
B. Disjunctive system of rules
C. Both a & b
D. Neither a nor b

Both a & b

Q. In disjunctive system of rules, output determined by performing fuzzy union of all dividual rule consequents
A. True
B. False

True

SCOA mcq

Q. In this form of reasoning, the antecedent part of the rule does not contain any fuzzy quantifiers and fuzzy probabilities
A. Qualitative Reasoning
B. Categorial Reasoning
C. Syllogistic Reasoning
D. Dispositional Reasoning

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Categorial Reasoning

Q. A Fuzzy syllogism can be expressed as x=s1 A’s are B’s & y= s2 C’s are D’s
A. z= s2 C’s are D’s
B. z= s2 A’s are B’s
C. z= s2 C’s are D’s
D. z= s3 E’s are F’s

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Q. The Conjunction rule is
A. ~x is ~A, ~x is ~B =>~x is ~A*~B
B. ~x is ~A, ~x is ~B =>~x is ~A-~B
C. ~x is ~A, ~x is ~B =>~x is ~A*υ~B
D. ~x is ~A, ~x is ~B =>~x is ~Aπ~B

~x is ~A, ~x is ~B =>~x is ~Aπ~B

Q. The negative rule of inference is
A. NOT (~x is ~A) => ~x is ~A
B. NOT (~x is ~A) => ~ is ~A
C. NOT (~x is ~A) => ~x is A
D. NOT (~x is ~A) => x is A

NOT (~x is ~A) => ~x is ~A

Q. In this mode of reasoning, the antecedents & consequents have fuzzy linguistic variables
A. Qualitative Reasoning
B. Categorial Reasoning
C. Syllogistic Reasoning
D. Dispositional Reasoning

Qualitative Reasoning

Q. How many types are available in machine learning?
A. 1
B. 2
C. 3
D. 4

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3

Q. How the decision tree reaches its decision?
A. Single test
B. Two test
C. Sequence of test
D. No test

Sequence of test

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Q. What Is Fuzzy Inference Systems?
A. The process of formulating the mapping from a given input to an output using fuzzy logic
B. Changing the output value to match the input value to give it an equal balance
C. Having a larger output than the input
D. Having a smaller output than the input

The process of formulating the mapping from a given input to an output using fuzzy logic

Q. Where Has Fuzzy Inference Systems Been Implemented?
A. Wireless services, heat control and printers
B. Restrict power usage, telephone lines and sort data
C. Simulink, boiler and CD recording
D. Automatic control, decision analysis and data classification

Automatic control, decision analysis and data classification

Q. What Is Another Name For Fuzzy Inference Systems?
A. Fuzzy Expert System
B. Fuzzy Modelling
C. Fuzzy Logic Controller
D. All of the above

All of the above

Q. The Equation For Probabilistic: Probor (a,b) = a+b – ab
A. True
B. False

True

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