Fuzzy logic is an innovative technology that allows the description of desired system behaviour using everyday spoken language. Many decision-making and problem-solving tasks are too complex to be understood quantitatively, however, people succeed by using knowledge that is imprecise rather than precise.
Fuzzy set theory, originally introduced by Lofti Zadeh in the 1960’s, resembles human reasoning in its use of approximate information and uncertainty and vagueness and provides formalized tools for dealing with the imprecision intrinsic to many problems.
By contrast, traditionally computing demands precision down to each bit. Since knowledge can be expressed in a more natural by using fuzzy sets, many engineering and decision problems can be graetly simplified.
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