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|    comp.ai.fuzzy    |    Fuzzy logic... all warm and fuzzy-like    |    1,275 messages    |
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|    Message 789 of 1,275    |
|    Bruce Postlethwaite to All    |
|    Re: What membership function to choose ?    |
|    25 Sep 08 09:51:24    |
      e8f5b4fb       From: no_spam_b.postlethwaite@strath.ac.uk              It really doesn't matter much, it's what you do with them that's important.       You can construct a rule-base using any shape of membership function, the       rules and placements may end up slightly different, but if you have some       sort of optimising design method you'll usually end up with a reasonable       fit. In some applications, a particular shape of membership function may       give better results after optimisation, but it's impossible to tell a       priori.              Some identification methods do, however, rely on particular shapes. The       stuff we did at Strathclyde required triangular membership functions - using       these allowed us to reduce the identification problem to one that could be       solved using linear least-squares.              Bruce Postlethwaite              "Ray" |
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