Fuzzy Logic


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Fuzzy Logic

A system which mathematically models complex relationships which are usually handled in a vague manner by language. Under the title of "Fuzzy Logic" falls formal fuzzy logic (a multi-valued form of logic), and fuzzy sets. Fuzzy sets measure the similarity between an object and a group of objects. A member of a fuzzy set can belong to both the set, and its complement. Fuzzy sets can more closely approximate human reasoning than traditional "crisp" sets. See: Crisp sets.

Fuzzy Logic

A form of logic programmed into some computers to allow them to use probability. That is, fuzzy logic allows computers to deal with uncertainty and to make decisions based on the information available. Unlike pure logic, which requires certainty, fuzzy logic helps computers make decisions the way humans do, only faster. This can be important in some investment strategies, such as arbitrage, that require decisions to be made very quickly.
References in periodicals archive ?
In fuzzy logic, the defuzzification or the defuzzifier is the final stage where it converts back fuzzy values or expressions to real data values [13].
Before that excitement begins, we find ourselves rediscovering the thrilling alchemy found in the Fuzzy Logic vault and delve yet deeper to decide what makes the final ZOOM collection.
To improve quality of output voltage control the PI fuzzy logic controller (FLC) was designed.
Karaboga used different fuzzy logic controlling techniques to control the spillway gates of dams during floods by using best rules.
The applications of pressure sensors start the timer, infrared distance measurement back through fuzzy logic programming operation, it is easy to implement and has easy production.
Figure 1 illustrates the ability of Fuzzy Logic (TFLC) and PID (TPID) controllers to maintain the temperature at set point (Tsp) from the beginning of the process.
A simple demonstration is given below to briefly explain how the fuzzy logic algorithm works.
The major advantages of the fuzzy logic approach are: i) a mathematical model is not necessary, ii) the knowledge base is formed by a set of practical rules using linguistic variables, and iii) this method is very efficient under uncertain conditions, which are common in everyday situations.
The simulation of the algorithm was done in Fuzzy logic toolbox of Matlab 7.
I do not mean to suggest that fuzzy logic resolves all the philosophical problems of vagueness (or that it is especially popular with pure philosophers).

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