Optimal Classification/Rypka Method/Equations/Separatory/Characteristic/Empirical/Target Set

Target Set Truth Table Value
$$ t_i = \sum_{j=0}^K v_{i,j} V^{(K-j)}$$, where:
 *  ti  is the truth table value of the target set,
 *  vi,j  is the element's attribute value,
 * i is the ith element's index value, where,
 * i = 0...G' where G is the number of elements in the bounded class, and,
 * j is the jth characteristic's index value, where,
 * j = 0...K and where,
 * K is the number of characteristics in the target set,
 * V is highest value of logic in the group,
 * V(K-j) is the positional value of the jth characteristic.

$$ n_{t_i} = n_{t_i} + 1 $$, where,
 * nt i contains the multiset count for each truth table value.