Patent ID: 9727640
Date: 2017-08-08
CPC Classifications: G06F,G06N,G06Q

Claim:
1. A decision support system for scoring prospective arrangements of entities and counterpart entities involving at least one entity acting in a role and at least one counterpart entity acting in at least one counterpart role comprising: a survey management component, said survey management component managing the provision of a first survey containing at least one attribute from an entity acting in one role to at least one counterpart entity acting in a second counterpart role and a least one second survey containing at least one attribute from said counterpart entity to said entity, wherein said first survey contains at least one attribute that is unrelated to any attributes contained in said second survey; a utility function generator component, said utility function generator component generating a first utility function representative of said entity's preferences for a given set of said counterpart entity's attributes at a given attribute level, said utility function generator component further generating at least one second utility function representative of said counterpart entity's preferences for a given set of said entity's attributes at a given attribute level; an evaluation and scoring module, said evaluation and scoring module comparing said first utility function against said counterpart entity's attribute level for each attribute and aggregating said comparisons associated with said counterpart entity, said evaluation and scoring module further comparing said second utility function against said entity's attribute level for each attribute and aggregating said comparisons associated with said entity; a processor configured to control the survey management component, utility function generator component, and evaluation and scoring module; and wherein said evaluation and scoring module further employs said aggregated comparisons associated with said counterpart entity and said aggregated comparisons associated with said entity to derive mutual preference of attribute utility scores.