Systems and methods for performing scoring optimization

摘要

The invention provides systems and methods relating to generating a unified determination based on subdetermination, and in particular, generating a unified score based on respective scores. For example, the invention provides a method for generating a unified determination based on subdeterminations, the method including generating a first subdetermination based on first criteria; generating a second subdetermination based on second criteria; and generating a unified determination based on the first subdetermination and the second subdetermination. The generation of the unified determination includes (a) assigning, using iterative processing, an assigned weighting respectively to the first determination and second determination; (b) determining if the assigned weighting satisfies at least one constraint; (c) comparing the assigned weighting to an optimized weighting, which was previously determined, to determine if the assigned weighting is improved over the optimized weighting; and (d) if the assigned weighting is improved, then assigning the assigned weighting to be the optimized weighting.

主权项

1. A system for generating a unified determination based on subdeterminations, the system including:
a first score processor generating a first subdetermination based on first criteria, wherein the first criteria is a front end risk score; a second score processor generating a second subdetermination based on second criteria, wherein the second criteria is a back end risk score; a combination score processor generating a unified determination based on the first subdetermination and the second subdetermination, the combination score processor including:
an iteration control portion assigning, using iterative processing, an assigned weighting respectively to the first determination and second determination;a feasibility determination portion determining if the assigned weighting satisfies at least one constraint;a comparison portion comparing the assigned weighting to an optimized weighting, which was previously determined, to determine if the assigned weighting is improved over the optimized weighting; and if the assigned weighting is improved, then the comparison portion assigning the assigned weighting to be the optimized weighting; wherein the first subdetermination is a first score, and the second subdetermination is a second score; wherein the feasibility determination portion determining if the assigned weighting satisfies at least one constraint is performed using a first relationship including parameters, and comparing a result of the first relationship with a first constraint value; wherein the determining if the assigned weighting satisfies at least one constraint is performed using a second relationship including parameters, and comparing a result of the second relationship with a second constraint value; and wherein the comparison portion comparing the assigned weighting to an optimized weighting to determine if the assigned weighting is improved over the optimized weighting includes:
using a first relationship including first parameters to generate a first result, the first parameters including the first subdetermination, the second subdetermination, the assigned weighting and a first objective parameter; andusing a second relationship including second parameters to generate a second result, the second parameters including the first subdetermination, the second subdetermination, the optimized weighting and the first objective parameter, andcomparing the first result to the second result; and the system constituted by a tangibly embodied computer processing machine.