Computer World. Матросова Т.А. - 73 стр.

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evaluating all the inputs in their human brains and summarizing, weighting and
averaging all these inputs to yield an optimum output decision. Inputs being
evaluated may include several images and considerations such as: How many cars are
in front. How fast are they driving. Any drivers going real slow. How about side
traffic entering from side streets. Do the police ever set up radar surveillance on this
stretch of road. What do you see in the rear view mirror. Even with all this, and more,
to think about, those who are driving with the traffic will all be going along together
at the same speed.
The same ability you have to drive down a modern city street was used by our
ancestors to successfully organize and carry out chases to drive wooly mammoths
into pits, to obtain food, clothing and bone tools.
Human beings have the ability to take in and evaluate all sorts of information
from the physical world they are in contact with and to mentally analyze, average and
summarize all this input data into an optimum course of action. All living things do
this, but humans do it more and do it better and have become the dominant species of
the planet.
If you think about it, much of the information you take in is not very precisely
defined, such as the speed of a vehicle coming up from behind. We call this fuzzy
input.
However, some of your «input» is reasonably precise and non-fuzzy such as the
speedometer reading. Your processing of all this information is not very precisely
definable. We call this fuzzy processing. Fuzzy logic theorists would call it using
fuzzy algorithms.
Fuzzy logic is the way the human brain works, and we can mimic this in
machines so they will perform somewhat like humans (not to be confused with
Artificial Intelligence, where the goal is for machines to perform EXACTLY like
humans). Fuzzy logic control and analysis systems may be electromechanical in
nature, or concerned only with data, for example economic data, in all cases guided
by «If-Then» rules stated in human language.
The Fuzzy Logic Method
The fuzzy logic analysis and control method is, therefore:
1. Receiving of one, or a large number, of measurement or other assessment of
conditions existing in some system we wish to analyze or control.
2. Processing all these inputs according to human based, fuzzy «If-Then» rules,
which can be expressed in plain language words, in combination with traditional non-
fuzzy processing.
3. Averaging and weighting the resulting outputs from all the individual rules
into one single output decision or signal which decides what to do or tells a controlled
system what to do. The output signal eventually arrived at is a precise appearing,
defuzzified, «crisp» value.

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