Home »
Aptitude Questions and Answers »
AI Aptitude Questions
Artificial Intelligence Fuzzy Logic Aptitude Questions and Answers (MCQ)
Aptitude Questions and Answers (MCQ) | Fuzzy Logic: This section contains aptitude questions and answers on Fuzzy Logic in AI.
Submitted by Monika Sharma, on September 05, 2021
This page contains some multiple-choices questions based on the concept of Fuzzy Logic uncertainty in AI systems. The topics covered in the following questions have been already covered in the previous tutorials (AI – Fuzzy Logic) and you can refer them for any kind of help. However, the explanation for each answer has been provided with each question.
2) Which of the following hold in the Fuzzy Logic System? Choose from the following options?
- Well defined inference making model
- Complex Decision making can be easily performed
- It is easily understandable
- Only i.
- i. and iii.
- ii. and iii.
- All i, ii. and iii.
Correct answer: 4
All i, ii. and iii.
All the mentioned points are valid and hold true for a fuzzy Logic AI system.
3) Which of the following are a part of Fuzzy Logic System? Choose from the following options?
- Knowledge base
- Fuzzification Module
- Inference Engine
- Defuzzification Module
- Only i.
- i. and iii.
- ii. and iii.
- All i, ii. and iii. and iv.
Correct answer: 4
All i, ii. and iii. and iv.
If we take a look at the architecture of the Fuzzy Logic system, then we find that it is composed of following four major parts:
- Knowledge Base
- Fuzzification Module
- Inference Engine
- Defuzzification Module
4) Consider the following statement:
"Through the Fuzzy Logic, The Agent can handle situations like incomplete data, imprecise knowledge, etc."
By reading the above statement, State whether it is true or false?
- True
- False
Correct answer: 1
True
In the Fuzzy Set Theory, the inference-making process and other concluding methods are well defined using algorithms that the agent or any computer system can easily understand. Thus the Agent in this method can handle situations like incomplete data, imprecise knowledge, etc.
5) Fuzzy Logic is a convenient way of representing which of the following situations?
- Partially True and Partially False
- Completely True and Completely False
- Both 1) and 2)
- None of the above
Correct answer: 1
Partially True and Partially False
Fuzzy Logic is an effective and convenient way for representing the situation where the results are partially true or partially false instead of being completely true or completely false.