Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!wuarchive!waikato.ac.nz!ldo From: ldo@waikato.ac.nz (Lawrence D'Oliveiro, Waikato University) Newsgroups: comp.ai Subject: What is "fuzzy logic"? Message-ID: <1991Mar28.192533.3272@waikato.ac.nz> Date: 28 Mar 91 19:25:32 +1200 Organization: University of Waikato, Hamilton, New Zealand Lines: 34 This is a novice question. I've read precisely one article on "fuzzy logic" so far that was at all informative, and the understanding I got from it goes like this: * Traditional feedback systems are analog in implementation. Their control signals can be characterized as analytic functions of their present and past error inputs (e g the classic example of the engine governor). Sophisticated control algorithms require more complex analytic functions, which rapidly become unmanageable in an analog-only implementation. * With computers, it becomes possible to have control outputs which are arbitrary combinatorial functions of present and past error inputs. * "Fuzzy logic" lies somewhere between a purely analytic and an arbitrarily combinatorial form; control functions are now _piecewise analytic_ (a hybrid digital/analog approach). A combinatorial decision procedure selects a different analytic function, depending on the ranges of the error inputs. The resulting compound function is continuous across the decision boundaries. Does this agree with what other people understand by "fuzzy logic"? If so, there isn't really anything in it that can be described as "fuzzy". Please correct me if I'm wrong. Lawrence D'Oliveiro fone: +64-71-562-889 Computer Services Dept fax: +64-71-384-066 University of Waikato electric mail: ldo@waikato.ac.nz Hamilton, New Zealand 37^ 47' 26" S, 175^ 19' 7" E, GMT+12:00 $ show node %DCL-W-ABKEYW, ambiguous qualifier or keyword - supply more characters \NODE\