Why fuzzy logic?


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More AI Fuzzy Logic Interview Questions

What is fuzzy logic implementation?

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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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Traditional set theory is also known as Crisp Set theory. a) True b) False

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The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c

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The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0 & 1 d) Either 0 or 1, either 0 or 1

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Where do we implement artificial intelligence fuzzy logic?

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What is artificial intelligence fuzzy logic?

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 What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

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______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned

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Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False

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What are disadvantages of fuzzy logic systems?

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The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set

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