Fuzzy logical demonstration of veracity

Question

I am creating a simplified example demonstrating the veracity of fuzzy logic. The problem is determining the veracity of the result.

My first problem: checking the meaning of truth between a high and a low target, does it really use fuzzy logic?

My second problem: Truth% seems wrong for target / threshold hits.

Results:

Miss: 30
 Hit: 40 at 100% true ( should be 80% ? )
 Hit: 50 at 80% true  ( should be 100% ? )
 Hit: 60 at 66% true  ( should be 80% ? )
Miss: 70

Grade:

public class FuzzyTest {

class Result {    
    int value;
    int truthfullness;
}

Result evaluate(final int valueIn, final int target, final int threshold) {
    Result result = null;
    final boolean truth = (((target - threshold) <= valueIn) && (valueIn <= (target + threshold)));
    if (truth) {
        result = new Result();
        result.value = valueIn;
        result.truthfullness = (int) (100.0 - (100.0 * (valueIn - Math.abs(target - threshold)) / valueIn));
    }
    return result;
}

public static void main(final String[] args) {
    final int[] arrayIn = new int[] { 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100 };
    final int threshold = 10;
    final int target = 50;
    final FuzzyTest fuzzy = new FuzzyTest();
    for (final int x : arrayIn) {
        final Result result = fuzzy.evaluate(x, target, threshold);
        if (result == null) {
            System.out.println("Miss: " + x);
        }
        else {
            System.out.println("Hit: " + x + " at " + result.truthfullness + "% true");
        }
    }
}
}

Answer 1

By checking the meaning of truth between a high and a low target, does it really use fuzzy logic?

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Answer 2

, :

result.truthfullness = (int) (100.0 - (100.0 * Math.abs(target - valueIn)) / target);

:

Miss: 30
Hit: 40 at 80% true
Hit: 50 at 100% true
Hit: 60 at 80% true
Miss: 70