Optimal classification/equations

Equations

Truth table size-related equations

These equations determine the truth table size from the highest value of logic and the number of characteristics in the set and in the group for the bounded class of elements and denote the range of the truth table values for the set and the group.

Group size

$Q=V^{C}$, where:

• Q is the group size
• V is the highest value of logic in the group,
• C is the highest number of characteristics in the group.

Set size

$R=V^{K}$, where:

• R is the set size
• V is the highest value of logic in the group,
• K is the highest number of characteristics in the set.

Theoretical and Empirical Separatory Equations

Element-related equations

Maximum number of pairs of elements to separate

Maximum number of pairs of elements to separate refers to triangularization of the matrix to permit comparison of each element with every other element to determine the number of pairs that are separable or disjoint. Pairs are separable or disjoint whenever the logic values of the elements that make up a pair are different. In theory, therefore the maximum possible number of pairs that can be separated is determined by the following equation:

$p_{max}={\frac {\left[{G(G-1)}\right]}{2}}$, where:

• p_max is the maximum number of pairs to separate, and
• G is the number of elements in the bounded class.

Order of elements

The elements are arranged in descending order according to their truth table value, i.e., the value calculated as the sum of each characteristic's logic state value times the highest value of logic raised to the power of the order of the characteristic. The element truth table value allows elements to be sorted and identified as unique or equivalent.

$e_{i}=\sum _{j=0}^{C}\left[v_{i,j}V^{(C-j)}\right]$, where:

• e_i is the element truth table value in the group,
• V is the highest value of logic in the group,
• v is the value of logic of each characteristic in the group,
• j is the jth characteristic index, where:

j = 0..C and where:

• C is the number of characteristics in the group,

• i is the ith element index, where:

i = 0..G and where:

• G is the number of elements in the bounded class.

Characteristic-related equations

Theoretical separation

The general identification equation

$S_{j}={\frac {1-{V^{-j}}}{1-V^{-C}}}$, where:

• S_j is the theoretical separatory value per jth characteristic,
• C is the highest number of characteristics in the group,
• V is the highest value of logic in the group and
• j is the jth characteristic index in the target set, where:

j = 0..K and where:

• K is the number of characteristics in the target set.

Minimal number of characteristics to result in theoretical separation

$t_{min}={\frac {\log G}{\log V}}$, where:

• t_min is the minimal number of characteristics to result in theoretical separation,
• G is the number of elements in the in the bounded class and
• V is the highest value of logic in the group.

Empirical separation

Target set truth table values

$t_{i}=\sum _{j=0}^{K}v_{i,j}V^{(K-j)}$, where:

• 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 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,

n_ti contains the multiset count for each truth table value.

Initial separation

$S_{j}={\frac {\left[(G^{2})-\sum _{l=0}^{R}n_{l}^{2}\right]}{2}}$, where:

• S_j is the initial empirical separatory value for each characteristic, where,

j = 0...C and is the index of the jth characteristic in the group and C is the number of characteristics in the group, and,

l = 0...R and is the truth table value of the jth characteristic, where R is the truth table size, where:

R = V⁰, and,

• V is the highest value of logic in the group and,
• 0 is the target set exponent for a single characteristic, and,

• G is the number of elements in the bounded class.

Subsequent separation

$S={\frac {\left[(G^{2})-\sum _{l=0}^{R}n_{l}^{2}\right]}{2}}$, where:

• S_j is the initial empirical separatory value for each characteristic, where,

l = 0...R and is the target set truth table index value, where R is the target set truth table size value, where:

R = V^K, and,

• V is the highest value of logic in the group and,
• K is the number of characteristics in the target set, and,

• G is the number of elements in the bounded class.