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Fuzzy set approaches

Fuzzy logic uses truth values between 0.0 and 1.0 to represent the degree of membership (such as using fuzzy membership graph)
Attribute values are converted to fuzzy values
- e.g., income is mapped into the discrete categories {low, medium, high} with fuzzy values calculated
For a given new sample, more than one fuzzy value may apply
Each applicable rule contributes a vote for membership in the categories
Typically, the truth values for each predicted category are summed