On 01-06-98 William Elliot wrote to John Boone...
Hello William and thanks for writing,
WE> JB> I'll give you -his-, Bart Kosko's, words.
WE> JB> At first I worked with symbols on abstract math theorums."
WE> So far this is gab, where's the math?
"Fuzzy Logic", he wrote wasn't a "math" book; as, he said
there were other books that dealt with the math.
WE> JB> In Fuzzy logic set theroy, a "thing" may belong to a set
WE> JB> (A) -AND- (not A) at the same time giving truth values
WE> JB> between and inclusive of zero and one.
WE> Gab, gab, gab. What's the definitions? What I understand is that in
I am unsure.
WE> fuzzy
WE> set theory an element x belongs to a set A with degree d, 0
WE> <= d <= 1, x member A (d). For example, A = {rocks in
This is my understanding of it.
WE> river}, r a rock. r member A (1) if r is completely
WE> submerged. r member A (1/2) if r is half submerged, r
WE> member A (1/3) if r is 1/3 submerged, r member A (0) if r
WE> is completely out of the river.
WE> So a half submerged rock is in A with degree 1/2 and in not
WE> A with degree 1/2, while a fully submerged rock is in A
WE> with degree 1 and in not A with degree 0. In general x
WE> member notA (d) when x member A (1-d), the definition of
WE> not A.
WE> Now probability is different. An infinite multi valued
WE> propositional calculus that is successful is probability
WE> theory. If two independent events, P and Q have
WE> probability p and q, then probability P and Q is pq, not P
WE> is 1 - p, and P or Q is, of course, from PorQ equivalent
WE> not(notP and notQ) is 1 - (1-p)(1-q) = p + q - pq. This
WE> method however is not applicable for a finite valued
WE> propositional calculus.
WE> Of interest is P implies Q, not(P and notQ) witch has
WE> probability 1 - p(1-q) = 1 - p + pq. So if p = 1 then
WE> probability of P implies Q is q and if p = 0 it's 1. Which
WE> is to be expected. Now if p = 1/2, it's 1/2 + q/2. Brain
WE> teaser, is it not?
Yes, it is, I am going to print it out to ponder it a bit.
Take care,
John
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