Fuzzy logic offers precise
solutions to complex business, academic research and industrial issues
from risk assessment, fraud detection, corporate lending, insurance underwriting
and claims assessment, through to air traffic control and industrial automation
and process control and embedded systems. For example, automotive ABS
anti-locking brake safety systems using fuzzy logic are now well established
in the car industry.
The real advantage of a fuzzy
logic system lies in its ability to take decisions in ways characteristic
of human judgement.
an applicant for a loan may
be classified as acceptable if she is aged "25 or above" but not if she
is aged "below 25". This can create all sorts of anomalies, for example,
should a 25 year old be treated differently to an applicant aged 24 years
and 11 months, especially when there may be other selection criteria which
the latter matches more closely?
An immediate practical benefit
of using fuzzy logic is that the rule bases which are used to describe
decisions are generally considerably smaller than those of conventional
systems. Whereas expert systems may require thousands of rules for real
world applications, fuzzy logic systems can often provide superior performance
from only tens of rules. This brings significant benefits for the business
experts in charge of developing systems, as they are able to read the
rule base, discuss its operation, and refine it much more conveniently.
Development time is therefore much reduced , as is testing and confidence
in performance is raised.