

Okay, I just thought I'd make a few comments here:
1. Fuzzy logic is NOT the only logic system to abandon the absolutism
of either/or Boolean logic- there are an infinite number of MVLs
(Multiple-Valued Logics), which are something like fuzzy logic, but
use discrete logic values (but more than 2). For example: Kleene
logic uses {_3 values: 0, 1/2, and 1. This is sort of Boolean logic
plus an "uncertainty" value, 1/2. MVLs, by the way are in use today.
One example is the Intel 8087 math coprocessor, which is composed in a
part , of a 4-valued logic circuit. Remember: the more values that a
line can take on, the less lines you need to transmit the same amount
of information.
2. There is more to fuzzy than fuzzy logic: there are a whole range
ogxxx of fuzzy math systems. Lotfi Zadeh actually wrote about these
in "AI Expert" recently.
3. Fuzzy logic is used for more than control systems. There are fuzzy
expert systems, and fuzzy credit analysts, to give you some idea of 
the rest of the fuzzy logic world, outside of control applications.
4. Fuzzy logic is NOT the same thing as probability. However, fuzzy
logic (like any science) cannot be completely seperated from its neighbors.
Arguing over fuzzy vs. probability is meaning less, from a semantical
point of view. From an applied science point of view, the differences
may be important, but one is not "better" than the other- they are both
parts of science. One last thing about fuzzy sets- not only may they
overlap, but they may also be disjoint.
5. I fxxx If you need references on any of the above, just holler.
