Fuzzy logic is a mathematical approach to problem solving. It excels in producing exact results from imprecise data, and is especially useful in computers and electronic applications. Fuzzy logic differs from classical logic in that statements are no longer black or white, true or false, on or off. The human brain can reason with uncertainties, vagueness, and judgments. Computers can only manipulate precise valuations.
Fuzzy logic is an attempt to combine the two techniques.
Making such a model involves analyzing a problem and setting up the proper rules to define it, a process called fuzzification. After testing a given fuzzy model, a programmer evaluates the efficiency of the fuzzy rules and adjusts the model accordingly. For example, suppose you wanted to set up a fuzzy set to control the speed of an air conditioner's fan. An ordinary or computer-driven thermostat would require you to specify at exactly what temperature the fan should turn off. The thermostat would then measure the current temperature, and if it were above the specified temperature, it would turn on the fan at full blast until the desired temperature was reached.