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|    comp.ai.fuzzy    |    Fuzzy logic... all warm and fuzzy-like    |    1,275 messages    |
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|    Message 274 of 1,275    |
|    Ian to All    |
|    A Bit of Clarification Help Needed    |
|    10 Jun 04 01:16:48    |
      From: info@fretfarm.co.uk              All,              Sorry if this is a common question, couldn't find it on the FAQ.              In fuzzy control we map inputs to a set of fuzzy states, e.g.:              a -> SMALL, MEDIUM, LARGE       b -> HOT, MILD              where each set spans all inputs (i.e. degree of membership sums to one for       states belonging to one input)              Then rules consist conjunctions of all combinations of these states (1 per       input) with a corresponding output state, e.g.:              if SMALL and HOT then CHILLE       if SMALL and MILD then PEPPER       if MEDIUM and HOT then CHILLE       if MEDIUM and MILD then PEPPER       if LARGE and HOT then PEPPER       if LARGE and MILD then PEPPER              I came across the posit:              any set of (consistent) rules relating input states to output states, using       any operator (AND, OR, NOT, XOR, etc) can be transformed into a rule-set of       the above type.              For example, say we have the rules:       if LARGE or MILD then PEPPER       if not LARGE and not MILD then CHILLE              These are directly transformed into the rule-block above.              The person I was talking to said that this is the _whole point_ of having       such rule blocks (with all combinations). But I couldn't google any support       for his theory.              Is this true? and if so, is there a general procedure to transform the       arbitrary rules into block form?                     Thanks in advance              Ian.              --- SoupGate-Win32 v1.05        * Origin: you cannot sedate... all the things you hate (1:229/2)    |
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