Re: Precisions

Vincent BARRA (vincent.barra@u-clermont1.fr)
Fri, 15 Jan 1999 20:14:25 +0100 (MET)

I try to be more specific : I have two distributions of possibility (i.e two
functions f1 and f2 from the universe of discourse into [0,1] with Max (f1)
= Max(f2) = 1). representing the fuzzy maps of a given brain tissue in two
images. I aggregate these distributions with some fusion operators (Min,
Max, Dubois and Prade' operator, ...), and thus I obtain one fused
distribution per operator. (in fact a fused map of the brain tissue)

My principal question is : Can I assert 'this fused map is better than
this one', according to some criteria (area of the distribution, fuzzy
entropy,fuzzy cardinality,...)

Your idea of Fuzzy rules is quite good, I've tried to implement it for my
problem. The advantage is that you can handle with other kind of information
(expert advice) before taking any decision. I was personnaly thinking of an
objective function, parametrized by some characteristics of the
distributions, that has to be maximized. This problem is very difficult
because it is very sensitive to the problem involved.

Hope this helps.

Vincent BARRA
vincent.barra@u-clermont1.fr

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