Path: utzoo!utgpu!water!watmath!clyde!rutgers!sunybcs!bingvaxu!vu0112 From: vu0112@bingvaxu.cc.binghamton.edu (vu0112) Newsgroups: comp.ai Subject: Re: Fuzzy sets Message-ID: <778@bingvaxu.cc.binghamton.edu> Date: 9 Feb 88 21:43:30 GMT References: <275@mmlai.UUCP> Reply-To: vu0112@bingvaxu.cc.binghamton.edu () Organization: SUNY Binghamton, NY Lines: 47 In article <275@mmlai.UUCP> barash@mmlai.UUCP (Rev. Steven C. Barash) writes: > >Does anyone reading this understand "Fuzzy set theory"/"Fuzzy logic" >and its applicability to automated reasoning? I'm trying to. . . >In particular, I'm interested in how one might verify empirically >(or experimentally, as with probability theory) the accuracy of the >fuzzy set formaulas for appropriate domains. I'm not sure how such verification would differ from that for crisp formulas. >Also, for a given problem, >how should one determine the suitability of fuzzy sets (instead of traditional >methods) for reasoning under uncertainty? First, obviously, if the system in question is non-deterministic, then fuzzy methods must come into play. It should be recognized that probability theory is a special case of fuzzy theory. Now, as to the question of whether to use non-probabilistic (e.g. possibilistic) fuzzy methods, that depends on the law of the excluded middle (True(A) => False(~A)), which probability conforms to, and possibility does not. If the samples are highly interdependant, fuzzy can yield better results. I recently wrote a paper on Fuzzy Artificial Inference and Expert Systems. Fuzzy promises a much more succesful, general method for approximate reasoning. >The journal articles >tend to be rather specialized, and don't address such basic issues. Try _Fuzzzy_Sets_and_Systems_. Also, I'd reccommend _Fuzzy_Sets, Ucertainty,_and_Information_ (George Klir, Prentic Hall 1988), which is an excellent introduction and bibliography. Read anything by Zadeh. >Please repond by E-mail; I'll post a summary if interest is sufficient. Sorry, couldn't resist. Plus my mailer usually chokes these days. > Steve Barash O----------------------------------------------------------------------> | Cliff Joslyn, Mad Cybernetician | Systems Science Department, SUNY Binghamton, Binghamton, NY | vu0112@bingvaxu.cc.binghamton.edu V All the world is biscuit shaped. . .