Another Question on What Language to use!

[JCoder]

Fuzzy bools are precisely about probabilities.

No, they are not.
But I also made a mistake - actually the analog of probablity in fuzzy logic is "degree of truth" (for booleans) or "membership value" (in general case). Support is defined for fuzzy sets.

Fuzzy logic and probability are different ways of expressing uncertainty. While both fuzzy logic and probability theory can be used to represent subjective belief, fuzzy set theory uses the concept of fuzzy set membership (i.e., how much a variable is in a set), probability theory uses the concept of subjective probability (i.e., how probable do I think that a variable is in a set). While this distinction is mostly philosophical, the fuzzy-logic-derived possibility measure is inherently different from the probability measure, hence they are not directly equivalent.

Really? Where'd you get these statistics?

http://www.stefankrause.net/wp/?p=9

gcc lost half of benchmarks with JET. Also no "enormous overhead" was seen in any of the benchmarks.
Java and C++ are in the same league, when it comes to performance.

Well excuse me if I don't own my own server farm.

It is not needed. Server Java executes multithreaded code better than C++. Mainly due to lock-coarsening and lock-elision optimizations not possible in C++.

[dargueta]

(Removed) Just realized I completely misinterpreted a few things.

[WingedPanther]

No, they are not.
But I also made a mistake - actually the analog of probablity in fuzzy logic is "degree of truth" (for booleans) or "membership value" (in general case). Support is defined for fuzzy sets.

A Wikipedia reference is not going to impress me, after having read a BOOK on the topic. If you read just before the bolded part, you'll see that it is a "philosophical" difference, not a mathematical difference.

[JCoder]

I only quoted WIkipedia, because it is easier to quote, than a text book.
However, the difference is also mathematical. For example it is perfectly valid in fuzzy logic to define logical operations as:

M(x && y) = min { M(x), M(y) }
M(x || y) = max { M(x), M(y) }

So: membership != probability, because for probability, for two independent variables, you have:

P(x && y) = P(x) * P(y)
P(x || y) = P(x) + P(y) - P(x) * P(y)