Fuzzy systems are a type of Artificial Intelligence that strive to conquer the complexities of human logic that isn’t always accurate or exact. A fuzzy system or Fuzzy logic tries to add meaning to words like sometimes and a little or a lot. These terms can then be used in programming or in other AI systems.

“Fuzzy logic is widely used in machine control. The term “fuzzy” refers to the fact that the logic involved can deal with concepts that cannot be expressed as the “true” or “false” but rather as “partially true”. Although alternative approaches such as genetic algorithms and neural networks can perform just as well as fuzzy logic in many cases, fuzzy logic has the advantage that the solution to the problem can be cast in terms that human operators can understand, so that their experience can be used in the design of the controller. This makes it easier to mechanize tasks that are already successfully performed by humans” (Fuzzy Control System, n.d.)

We will be using a Fuzzy Logic System to describe the condition of the plants to the user as well as training our AI.

References:

Fuzzy Control System. (n.d.). Retrieved from wikipedia: https://en.wikipedia.org/wiki/Fuzzy_control_system