On Tue, Aug 5, 2008 at 3:24 PM, YKY (Yan King Yin) <[EMAIL PROTECTED]> wrote: > I'm writing a paper about my probabilistic-fuzzy logic that should be > fairly easy to understand. But I got stuck on the fuzzy concept > problem as you can see. > > To "distribute probabilities over fuzziness" means: each concept has > a fuzzy value, Z, in [0,1]. For example, the "chairness" of a certain > chair may be 0.7. > > I can add probabilities on top of this: the mean of Z would be at > 0.7, with a bell-curve kind of distribution. So I use 2 numbers, the > mean and the variance. That allows me to approximate an interval Z > value such as [0.6,0.8]. > > Probabilistic ILP can be performed on this KR structure (analogous to > ILP on FOL). > > YKY Thanks for the explanation - although I wasn't really able to figure out what you meant by, "performed on this KR structure (analogous to ILP on FOL)" since I didn't pick up on all the terms as you were talking about them before. However, I did, at least, get the essence of what you are working on. If you want to share a draft of the paper let us know, because I would be interested in looking at it. Jim Bromer
------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=108809214-a0d121 Powered by Listbox: http://www.listbox.com
