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The term fuzzy logic was coined in 1965 by Lotfi Zadeh, University of California. He observed that conventional computer logic could not manipulate data representing subjective or ambiguous human concepts.
From control theory to artificial intelligence, fuzzy algorithms have been utilized in numerous disciplines. It was designed to enable the computer to distinguish between true and false data. Something comparable to the human cognitive process. Similar to Some dimness, Some luminosity, etc.
The conventional logic block a computer understands requires precise input and generates a definite output as TRUE or FALSE, corresponding to a human's YES or NO. Lotfi Zadeh observed that, unlike computers, humans have a range of possibilities between YES and NO, including:
The fuzzy Architecture is made up of four parts:
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