lecture 7

Fuzzy logic

  1. Fuzzy logic: a computational approach centered on the idea of ‘degrees of truth’ rather than the black/white true or false approach of most systems.
  2. Fuzzy membership function: permit individuals to be partial members of different, overlapping sets( crossover point: the point where the grade of membership is 0.5 )

Left sigmoidal: requires two parameters, expressed fall

Sigmoidal or triangular function: requires three parameters representing about

Trapezoidal-shaped: four required parameters for moderate

Right trapezoidal function: requires two parameters, indicate an increase

  1. Fuzzy operators:

And: The output map is controlled by the smallest fuzzy membership value at each location.

 

Or: Output membership is controlled by the maximum value of input maps

 

Fuzzy Algebraic Product: output is always less than or equal smallest FM, FM all values ​​are involved

 

Fuzzy Algebraic Sum: sum of 0.75, 0.5 = 1- (1-0.75) * (1-0.5) = 0.875, the result is always larger than the maximum

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Origin www.cnblogs.com/eleni/p/11363199.html