Fuzzy Logic – AI without Data Scientists

Fuzzy logic helps quickly model everyday commonsense rules used in your business to Artificial Intelligence – pretty powerful stuff!

Picture an impending tornado headed your way threatening calamity, what would you do?

The commonsense approach makes intuitive sense but commonsense is not easy to express mathematically in a way computers understand. Fuzzy logic helps overcome this hurdle and get started with AI using simple “If Tornado is close then seek shelter” type rules using plain English and notions such as ‘Close’ can be specified as a value between lets say zero to a half mile away. Fuzzy Logic converts natural language like rules into mathematical models. The deep learning model would have required a lot of data beforehand to train a model which is both time consuming, expensive and difficult to interpret.

Humans and animals often operate using fuzzy evaluations in many everyday situations. In the case where someone is tossing an object into a container from a distance, the person does not compute exact values for the object weight, density, distance, direction, container height and width, and air resistance to determine the force and angle to toss the object. Instead the person instinctively applies quick “fuzzy” estimates, based upon previous experience, to determine what output values of force, direction and vertical angle to use to make the toss.