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# 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.

- Fuzzy Logic (FL) is a method by which any expert system or any agent based on Artificial Intelligence performs reasoning under uncertain conditions.
- In this method, the reasoning is done in almost the same way as it is done in humans.
- In this method, all the possibilities between 0 and 1 are drawn.
- All of the above

- Well defined inference making model
- Complex Decision making can be easily performed
- It is easily understandable

- Knowledge base
- Fuzzification Module
- Inference Engine
- Defuzzification Module

*"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?

TOP Interview Coding Problems/Challenges

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- Toppers of Class
- Print All Nodes that don't have Sibling
- Transform to Sum Tree
- Shortest Source to Destination Path

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