This theorem tells, roughly, that any mathematical system can be approximated by fuzzy logic. Hopefully this page http://sipi.usc.edu/~kosko/ helps more.
Chat with our AI personalities
Norton's theorem is the current equivalent of Thevenin's theorem.
You cannot solve a theorem: you can prove the theorem or you can solve a question based on the remainder theorem.
The Central Limit Theorem (CLT) says no such thing! In fact, it states the exact opposite.The CLT sets out the conditions under which you may use the normal distribution as an approximation to determine the probabilities of a variable X. If those conditions are not met then it is NOT OK to use the normal distribution.
That is a theorem.A theorem.
No, a corollary follows from a theorem that has been proven. Of course, a theorem can be proven using a corollary to a previous theorem.