Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!sdd.hp.com!wuarchive!mit-eddie!uw-beaver!june.cs.washington.edu!hanks From: hanks@june.cs.washington.edu (Steve Hanks) Newsgroups: comp.ai Subject: Re: What is "fuzzy logic"? Keywords: fuzzy logic, expert systems Message-ID: <1991Apr4.232713.15849@beaver.cs.washington.edu> Date: 4 Apr 91 23:27:13 GMT References: <2278@lee.SEAS.UCLA.EDU> <1991Apr1.205421.8079@athena.cs.uga.edu> <4412@skye.ed.ac.uk> <1991Apr4.191217.17894@hawk.cs.ukans.edu> Sender: news@beaver.cs.washington.edu (USENET News System) Reply-To: hanks@cs.washington.edu (Steve Hanks) Organization: Computer Science & Engineering, U. of Washington, Seattle Lines: 17 Re. the discussion of fuzzy logic, combination functions, and the like: there's a paper by Bart Kosko, titled "Fuzziness vs. Probability", in Int. J. General Systems, Vol 17, 1990, pp. 211-240. First of all, it's a very lucid and interesting paper, although I can't evaluate the technical content since this isn't my area. Anyway, he makes the claim that if you define the entropy of a fuzzy set in a certain way, then min and max are unique among the T-norms (and dual C-norms) in that they maximize the entropy of the defining fuzzy system. Seemed pretty compelling to me, and a fun read regardless of whether you buy the technical point of view or not. Steve.