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Neutrosophic Logic

a*neut1(a) = neut1(a)*a = a a*neut2(a) = neut2(a)*a = a

.......................................... a*neutp(a) = neutp(a)*a = a - and a*anti1(a) = anti1(a)*a = neut1(a) a*anti2(a) = anti2(a)*a = neut2(a)

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............................................... a*antip(a) = antip(a)*a = neutp(a).

Neutrosophic Logic

To Nouran Radwan Neutrosophic logic works better than fuzzy logic when dealing with triads. For example, in voting you can catch all aspects: voting Pro, voting Contra, or Neutral voting. In games: winning, loosing, or tie game. In making a decision: accepting a decision, rejecting a decision, or pending. This middle (neutral, indeterminate) part, i.e. neither true nor false, pending, tie game etc. cannot be caught by fuzzy logic. That's why I called it (neutro)sophic logic, meaning the middle part in between extremes makes the distinction between neutrosophic and fuzzy logic / set / probability.

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