Optimal Classification/Rypka Method/Equations/Separatory/Characteristic/Empirical/Target Set
< Optimal Classification  Rypka Method  Equations  Separatory  Characteristic  EmpiricalTarget Set Truth Table ValueEdit
, where:^{[1]}

 t_{i} is the truth table value of the target set,

 v_{i,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^{(Kj)} is the positional value of the jth characteristic.
, where,
 n_{ti} contains the multiset count for each truth table value^{[2]}.
NotesEdit
 ↑ 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 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.
 ↑ coefficient of association, , see page 172 of the primary reference