Fuzzy data is very peculiar and interesting in that it can be used in tandem with all of the major concepts we introduced in this book. We saw how a series of fuzzy logic controllers can easily fit into a behavior tree structure, and it's not terribly difficult to imagine how it can be used with an FSM.
Sensory systems also tend to make use of fuzzy logic. While seeing something can be a binary condition, in low-light or low-contrast environments, we can suddenly see how fuzzy the condition can become. You've probably experienced it at night—seeing an odd shape, dark in the distance, in the shadows, thinking "is that a cat?" which then turns out to be a trash bag, some other animal, or perhaps even your imagination. The same can be applied to sounds and smells.
When it comes to pathfinding, we run into the cost of traversing certain areas of a grid, which, a fuzzy logic controller can easily help fuzzify and make more interesting...