The main application of Fuzzy Logic is optimization just like what I have previously posted. A highly optimized business process always results to faster and more efficient delivery of goods and services translating to huge savings. This is the main reason why so many Accounting Software today has integrated an algorithm that is highly optimized to make processing of Accounting Data so much faster.
To demonstrate how Fuzzy Logic works, we will solve a common problem: controlling the temperature in the room. Fuzzy Logic is used to maintain the temperature at an optimized level. The optimized level here is predefined by the end user. Supposed our optimized level normal temperature level is between 22 to 24 degrees centegrade.
Fuzzy set theory defines fuzzy operators on fuzzy sets. The problem in applying this is that the appropriate fuzzy operator may not be known. For this reason, fuzzy logic usually uses IF-THEN rules, or constructs that are equivalent.
Rules are usually expressed in the form:
IF variable IS property THEN action
In our example, the simple temperature regulator that uses a 2 fans and an aircon might look like this:
IF temperature IS very cold THEN stop fans and aircon
IF temperature IS cold THEN turn down fans and aircon
IF temperature IS normal THEN maintain level
IF temperature IS hot THEN speed up fan and turn on aircon
There is no “ELSE” – all of the rules are evaluated, because the temperature might be “cold” and “normal” at the same time to different degrees.