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

==Target Set Truth Table Value==
 t_i = \sum_{j=0}^K v_{i,j} V^{(K-j)}, where:As the characteristic with the greatest separatory value is moved to the next most significant position, K is incremented to expand the target set size from two characteristics to the number of characteristics in the group or the the number of characteristics which result in 100% separation. For the initial target set with one characteristic the separatory value is computed individually for each characteristic in the group to find the initial characteristic with the highest separatory value.
:*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 j'th 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,
:nti contains the multiset count for each truth table valuecoefficient of association, coa = \frac{n_{t_i}}{n_R} , see page 172 of the primary reference.
==Notes ==