“An Analytical Approach to Efficiently Structuring Data”
A Quantitative Model with use of Qualitative Variables Applied to Situational Behaviors and to Structure data in a manner that is meaningful to the observer.
A Model relating to an individual, event or pattern.
(1)
qa = x1 y1 + x2 y2 + x3 y3 + x4 y4 + x5 y5 + xz yz
(2)
x1 y1 = a1 b1 + a2 b2 + a3 b3 + az bz
x2 y2 = a1 b1 + a2 b2 + a3 b3 + az bz
x3 y3 = a1 b1 + a2 b2 + a3 b3 + az bz
x4 y4 = a1 b1 + a2 b2 + a3 b3 + az bz
x5 y5 = a1 b1 + a2 b2 + a3 b3 +az bz
xz yz = az bz
(1) Main function quantitative model exploring qualitative equilibrium points
(2) Subfunction quantitative model exploring qualitative equilibrium points
(3) Quantitative model with qualitative equilibrium points to exhibit an equilibrium between qualitative variables
(4) Use of a multi-dimensional equation of mathematical programing combined with a subfunction multi-dimensional equation. Use of computer science and mathematical programming methods, to model situational behaviors or patterns
(5) The model accounts for unknown and additional variables with data stored in corresponding variables
(6) Derived meaning and understanding from the model can be exhibited
(7) Structuring data or information in this manner can elicit greater clarity as the model brings one towards equilibrium
(8) The model can be applied to a diverse amount of fields with a similar method to determine equilibrium