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Fuzzy Logic

Fuzzy logic expands traditional Boolean or classical logic in order to allow for partial truths. Classical logic requires that a concept be deemed either true or false, yes or no, black or white. It is a binary based system that does not make allowances for the possibility that the answer may lie somewhere in the middle. Fuzzy logic, on the other hand, is a superset that has been developed to manage the gray areas.

It is important to note that fuzzy logic operates on definitions that are vague but not random. Furthermore, it would be wrong to equate fuzzy logic to imprecise logic, since it is not the logic, but rather the concept that the logic is handling that is imprecise. By and in itself, the logic is mathematical and organized. For example, the amount of money in a bank account can be quantified, but the amount required to make a man feel wealthy cannot. Therefore, the concept of “wealth” cannot be measured through no fault of the measuring device.

Fuzzy logic normally follows the “if/then” rules of action and reaction. For example, if a temperature reaches the desired setting, then the thermostat switches itself off.

Basic applications of fuzzy logic can be found in a growing number of household appliances such as air conditioners, refrigerators, washing machines, security systems, etc.

Web Resources On Fuzzy Logic

Seattle Robotics
Wikipedia: Fuzzy Logic

Book Resources On Fuzzy Logic

Fuzzy Sets and Fuzzy Logic by George Klir and Bo Yuan
The Fuzzy Systems Handbook by Earl Cox

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