 ( )( ) ,, ,, N *n TIF FIT* = 
by interchanging the truth T and falsehood F vector components. Then: 
 ( ) 12 12 12 21 1 2 12 12 21 21 NL P TT I I I T I T F F F I FT F T F I ( 12) , , = ++ ++ + + ( ) 1 2 12 1 2 21 12 12 1 2 21 21 NL P T F I I I F I T FT F I F F T T T I ( 1) , , = ++ ++ ++ ( ) 12 12 12 2 1 1 2 12 12 2 1 21 NL P FT I I I T I F T F T I TT F F F I ( 2) , , = ++ +++ + ( ) 1 2 12 1 2 2 1 12 12 1 2 2 1 21 NL P F F I I I F I F TT T I T F T F T I ( 0) , , = ++ ++ + + Similarly as in our above fuzzy logic work, we now define a binary N conorm − (disjunction or 
union), i.e. neutrosophic conform. 
$$d_{_{N}}:\left([0,1]\times[0,1]\times[0,1]\right)^{2}\rightarrow[0,1]\times[0,1]\times[0,1]$$
$$d_{N}(x,y)=\left(T_{1}+T_{2},\left(I_{1}+I_{2}\right)\cdot\frac{\tau-T_{1}-T_{2}}{I_{1}+I_{2}+F_{1}+F_{2}},\left(F_{1}+F\right)\cdot\frac{\tau-T_{1}-T_{2}}{I_{1}+I_{2}+F_{1}+F_{2}}\right)$$  if $x$ and $y$ are disjoint, and $T_{1}+T_{2}\leq1$ where $\tau$ is the neutrosophic norm of $x\vee_{N}y$, i.e.,  $$\tau=\left(T_{1}+I_{1}+F_{1}\right)\cdot\left(T_{2}+I_{2}+F_{2}\right),$$
$$\tau=\left(T_{1}+I\right)$$
$$\mathbf{l}$$
 We consider as neutrosophic norm of x , where 11 1 *NL x T I F* ( ) =++ , the sum of its components: TIF 11 1 + + , which in many cases is 1, but can also be positive <1 or >1. 

 When the truth value increases (T T 1 2 + ) is the above definition, the indeterminacy and falsehood values decrease proportionally with respect to their sums 1 2 I + I and respectively F F 1 2 + . 

 This neutrosophic disjunction operator of disjoint variables allows us to add neutrosophic truth values of disjoint parts of a shaded area in a Venn Diagram. 

Now, we complete Donald E. Knuth's Table of the Sixteen Logical Operators on two variables with Fuzzy Logical operators on two variables with Fuzzy Logic truth values, and Neutrosophic Logic truth/indeterminacy/false values (for the case TIF ≺ ≺ ). 