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From: orourke@utstat.toronto.edu (Keith O'Rourke)
Subject: Re: Fuzzy logic compared to probability
Message-ID: <Do5t6w.JI3@utstat.toronto.edu>
Organization: U of Toronto Statistics
References: <312B60FB.41C67EA6@colorado.edu> <DnI780.Hq3@decan.com> <4heetr$57u@mercury.dur.ac.uk> <DnsyEI.6u5@decan.com> <4hmdoo$1see@b.stat.purdue.edu> <Dnwq9K.MD4@decan.com> <DnyKKL.E0n@utstat.toronto.edu> <Do0qM8.8G@decan.com>
Date: Tue, 12 Mar 1996 14:49:44 GMT
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Xref: glinda.oz.cs.cmu.edu comp.ai.fuzzy:7006 sci.stat.math:9754

<Article 8617 of 8617 (sci.stat.math) (23 lines) Sat Mar  9 16:06:07 1996
<Subject: Re: Fuzzy logic compared to probability
<From: sthomas@decan.com (S. F. Thomas)

<: But, I for one are much more concerned about the probable consequences
<: of actions that will likely result from the wise (UNwise) modelling
<: of uncertainty.

<Me too.  If, however, you mean to imply that the Bayesian paradigm
<is a necessary or correct means of addressing that concern, I would
<have to disagree.

<: Keith O'Rourke
<: Toronto Hosp

<Regards,
<S. F. Thomas

No, just trying to sift attention from "drawing conclusions" to 
  "making Decisions"

Regards,
Keith O'Rourke
The Toronto Hosp.

