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Fuzzification and defuzzification.

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posted on 2013-02-20, 23:24 authored by Robert Küffner, Tobias Petri, Lukas Windhager, Ralf Zimmer

We use triangular membership functions to fuzzify the continuous gene levels of an effector e into fuzzy sets. As shown by the magenta arrow, a continuous gene level of le = 0.25 is fuzzified into the fuzzy value <L(low,le) = 0.5, L(med,le) = 0.5, L(high,le) = 0.0>. This can be reversed by defuzzification without loss of information.

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