**Previous message:**Wise: "Re Fuzzy and Datamining"**Maybe in reply to:**Joe Pfeiffer: "Thomas' Fuzziness and Probability"**Messages sorted by:**[ date ] [ thread ] [ subject ] [ author ]

In article <9luacg$olf$1@zeus.polsl.gliwice.pl>,

Andrzej Pownuk <pownuk@zeus.polsl.gliwice.pl> wrote:

*>> > Btw, I doubt that the fact that you know something is reflected by
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*>> > probabilistic logic, without your formalizing it in any way.
*

<> That is =EXACTLY= what Bayesian probability theory is all about !!!

<> In Bayesian probability theory, _ALL_ probabilities are conditional

<> on the knowledge base one is willing to apply to the problem at hand.

<> The conditional probability P(A|{B}) in Bayesian theory is the degree

<> of confidence one has in the truth of Boolean proposition 'A', given

<> that the set of Boolean propositions {B} (the knowledge base one is

<> willing to apply to the problem) is assumed to be true. The Laws of

<> probability and Bayes theorem provide all the tools one needs to reason

<> about such `uncertain' Boolean propositions, as well as to incorporate

<> new data into one's knowledge base. See G. Larry Bretthorst's paper

<> ``An Introduction To Model Selection Using Probability Theory As Logic''

<> <http://bayes.wustl.edu/glb/model.ps.gz>, or the draft of E. T. Jaynes'

<> magnum opus ``Probability Theory: The Logic of Science''

<> <http://bayes.wustl.edu/etj/prob.html>.

*>Probability theory is related
*

*>with the question
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*>"how often something happened".
*

*>When in each experiment we get the same results,
*

*>then this problem is not related with theory of probability.
*

*>We know the answers with probability one.
*

This is confusing probability with limiting relative

frequency. One NEVER has this situation, and in any

case, limits tell one nothing for finite samples.

One cannot "repeat" an experiment; the situation is

always different. So probability has to be looked

at otherwise. The only reasonable approach I have

seen is that it exists, and the properties are as

described. The assumptions one makes, such as

independence, similarity of moments, etc., are far

more precise than any observations can yield.

*>When I see that knowledge
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*>of my students is related with probability,
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*>(For the same question I got
*

*>different response.)
*

*>then I doubt about their knowledge.
*

This happens all the time.

-- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399 hrubin@stat.purdue.edu Phone: (765)494-6054 FAX: (765)494-0558############################################################################ This message was posted through the fuzzy mailing list. (1) To subscribe to this mailing list, send a message body of "SUB FUZZY-MAIL myFirstName mySurname" to listproc@dbai.tuwien.ac.at (2) To unsubscribe from this mailing list, send a message body of "UNSUB FUZZY-MAIL" or "UNSUB FUZZY-MAIL yoursubscription@email.address.com" to listproc@dbai.tuwien.ac.at (3) To reach the human who maintains the list, send mail to fuzzy-owner@dbai.tuwien.ac.at (4) WWW access and other information on Fuzzy Sets and Logic see http://www.dbai.tuwien.ac.at/ftp/mlowner/fuzzy-mail.info (5) WWW archive: http://www.dbai.tuwien.ac.at/marchives/fuzzy-mail/index.html

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