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fuzzy logic

2007-05-02 15:08:07 · 2 answers · asked by Simon M 1 in Science & Mathematics Engineering

2 answers

I believe it's just the opposite. When there isn't enough information, I suspect the tendency is to guess, speculate or estimate the missing parameters and this leads to more "fuzziness" in the final analysis.
On the other hand, if the "more information" is contradictory to what is thought to be already known, the problem will get real fuzzy, real quick.

2007-05-02 16:24:33 · answer #1 · answered by LeAnne 7 · 0 0

hi,
According to me you r correct that fuzziness increases with more info but only when the things are not clear or to advanced for us to learn .

2007-05-03 02:11:34 · answer #2 · answered by Sak 2 · 0 0

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