Do you know who invented the Fuzzy Logic? Do you wish to get into the details of the topic? We at Scaler present you a detailed guide on Fuzzy Logic in AI to discuss various concepts, its history, applications and much more. Join our FREE Masterclass now: [ Ссылка ]
Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. The approach of FL imitates the way of decision making in humans that involves all intermediate possibilities between digital values YES and NO. The conventional logic block that a computer can understand takes precise input and produces a definite output as TRUE or FALSE, which is equivalent to a human's YES or NO.
Fuzzy logic is a form of artificial intelligence software; therefore, it would be considered a subset of AI. Since it is performing a form of decision making, it can be loosely included as a member of the AI software toolkit. Fuzzy Logic Systems (FLS) produce acceptable but definite output in response to incomplete, ambiguous, distorted, or inaccurate (fuzzy) input.
Watch the video till the end to understand how Fuzzy logic helps derive human reasonings in devices with help of relevant examples.
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