A tool and technique are employed to distill and prioritize multiple organizational (sub-system) capabilities based on ranked customer requirements or desires. A translational matrix is employed to organize preferences of the sub-system with respect to the customer requirements or desires. Relative importance scores are input into the matrix to reflect prioritized input versus prioritized capabilities. An adjusted relative importance score of the sub-system is automatically calculated and a resultant re-prioritization of sub-system attributes is created for application to new designs, services, or processes.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: prioritizing a first class of attributes with a first set of preferences and producing a first weighted ranking score; prioritizing a second class of attributes with a second set of preferences and producing a second weighted ranking score; translating the prioritized first set and second set of preferences as attributes to a solution, including: assigning a weighted ranking score to each attribute in the first set of preferences relative to each attribute in the second set of preferences; aggregating the assigned score with the first set of preferences, the aggregation utilizing an associated attribute from each of the first and second sets of preferences; assigning each aggregation to a modified attribute; and quantitatively adjusting the second set of preferences based on the modified attribute; based on the quantitative adjustment, the second class of attributes organized with respect to the first class of attributes within a translational matrix relating the first and second set of preferences. 2. The method of claim 1, further comprising assigning an importance score to the first set of preferences as a column reference and to the second set of preferences as a row reference within the translational matrix. 3. The method of claim 2, further comprising producing a revised weighted ranking score by analytically deriving a relative importance of the first set of preferences with respect to the second set of preferences. 4. The method of claim 3, further comprising performing a linear interpolation to calculate an adjusted relative importance for the second set of preferences. 5. The method of claim 4, creating a second translational matrix prioritizing the second set of preferences to a third set of preferences. 6. The method of claim 5, analytically deriving an adjusted scaled importance of the third set of preferences. 7. The method of claim 6, creating a third translational matrix, including assigning preferences of the second matrix in a column of the third matrix, and assigning a fourth set of preferences as column references. 8. The method of claim 7, further comprising summarizing a final set of re-prioritized preferences.