Path: utzoo!mnetor!uunet!seismo!sundc!pitstop!sun!decwrl!decvax!ucbvax!quintus.UUCP!ok From: ok@quintus.UUCP (Richard A. O'Keefe) Newsgroups: comp.ai.digest Subject: Re: I'm still not convinced ... Fuzzy Logic and Probability Theory Message-ID: <678@cresswell.quintus.UUCP> Date: 22 Feb 88 05:25:05 GMT References: <8802210846.AA02221@ucbvax.Berkeley.EDU> Sender: daemon@ucbvax.BERKELEY.EDU Organization: Quintus Computer Systems, Mountain View, CA Lines: 14 Approved: ailist@kl.sri.com I don't like "fuzzy logic". The basic reason for that is very simple: it puts the fuzziness in the wrong place. The standard example is "John is very tall" where "very" is interpreted as a degree-of-belief in the proposition "John is tall". This fails to make it clear whether - there is some doubt about the height or - someone is tall, but there is some doubt about whether it's John. This ambiguity does not exist in the original statement. Putting the fuzziness on the truth-values instead of the functions seems wrong. In probability, there is a clear distinction between distributions (relating to functions) and probabilities (relating to propositions).