The most direct example, of course, is the rapidly increasing word-length for a digital computer to represent increasingly precise real numbers. Each subsystem, artificial, natural or hybrid has it's own internal precision limiting bound. Practically, even this bound is often not reached or really used. It's also a severely nonlinear process. In fact, even the crisp controllers are gain-scheduled for this.
Fuzzy methods appear just right here for measurement and control.
Fairly clearly, fuzzy logic is a little more than somewhat natural. The classical logic would have us render them as diabetic or not diabetic. And that my friend is TRUE in a fuzzy kind of way. Regardless, the answer may still be, no, this has not been studied. This message was posted through the fuzzy mailing list.