Analytical tool

• US 8,620,717 B1
• Filed: 11/04/2004
• Issued: 12/31/2013
• Est. Priority Date: 11/04/2004
• Status: Active Grant

• Current Assignee: Viteds LLC
• Original Assignee: Auguri Corporation (Element Data, Inc.)
• Inventors: Micaelian, Fadi Victor, Scoffone, Emil Mario
• Primary Examiner(s): Miller, Alan S
• Application Number:
  US10/981,988
• Time in Patent Office: 3,344 Days
• Field of Search: 707706-735, 705 711- 742
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

An exemplary method for determining a singular impact of a base criterion includes selecting the base criterion and a trade criterion from a plurality of criteria and selecting a starting alternative and a target alternative. A series of virtual alternatives are then created, initially based on the starting alternative, by sequentially eliminating an impact of each non-selected criteria from the plurality of criteria. A final virtual alternative is compared to the target alternative and the singular impact of the base criterion is determined based on a difference between the final virtual alternative and the target alternative.

Claims

1. A computer implemented method for determining a singular impact of a base criterion on a product comprising:

receiving, at a server computing system, an instruction selecting the base criterion and a different trade criterion from a plurality of criteria, the plurality of criteria selected from criteria for the product;

receiving, at the server computing system, an instruction selecting a starting alternative and a target alternative;

receiving, at the server computing system, a plurality of criteria weights including a weight for each of the plurality of criterion for the product, each criteria weight indicating a relative importance of the product criteria in a trade-off decision relative to the importance of different other ones of the plurality of product criteria;

at the server computing system, creating a series of virtual alternatives, initially based on the starting alternative, by sequentially eliminating an impact of each non-selected criteria from the plurality of criteria, the impact being eliminated by equalizing the values for each of the non-selected criteria;

at the server computing system, comparing a final virtual alternative having the impact of each non-selected criteria eliminated to the target alternative; and

at the server computing system, determining, the singular impact of the base criterion based on a difference between the final virtual alternative and the target alternative;

wherein the base criterion is weighted using a base criterion weight that is multiplied by the base criterion value to generate a weighted base criterion and other criterion are weighted by other criterion weights to reflect a user'"'"'s preference for the base criterion relative to other criteria.

2. The method as recited in claim 1 wherein the plurality of criteria are subcomponents of an economic unit capable of being sold.

3. The method as recited in claim 2 wherein the economic unit comprises the starting alternative and the target alternative.

4. The method as recited in claim 1 wherein the singular impact of the base criterion is a unit of currency per the base criterion.

5. The method as in claim 1, wherein each of the criteria weights identify a relative importance between the various different criteria for the product and not a preference within the same product criteria.

6. The method as in claim 1, wherein the method further comprising:

selecting the base criterion and the different trade criterion from the plurality of criteria.

7. The method as in claim 1, wherein the method further comprising:

selecting the starting alternative and the target alternative.

8. The method as in claim 1, wherein the product comprises an item for purchase.

9. The method as in claim 1, wherein the product comprises a service.

10. The method as in claim 1, wherein the steps of creating, comparing, and determining includes making at least one trade-off comparison of the relative importance of a plurality of the criteria alternatives of the product.

11. The method as in claim 1, wherein the steps of creating, comparing, and determining includes making at least one trade-off comparison of the relative importance of all or the plurality of the criteria alternatives of the product.

12. The method as in claim 1, wherein the method includes comparing at least two criteria and characterizing how the change of a first criteria can be offset by a change in a second criteria by eliminating the impact of all other criteria based on a user tradeoffs.

13. The method as in claim 12, wherein the first criteria is the base criteria and the second criteria is the trade criteria.

14. The method as in claim 1, wherein the different relative weights indicate the relative importance for a user'"'"'s tradeoff between product criteria.

15. The method as in claim 1, wherein the virtual alternatives created are not limited to physical economical units capable of being sold and purchased and includes virtual or hypothetical products having a virtual or hypothetical product criteria that has a criteria of a different physical product.

16. A computer implemented method for determining a singular impact of a base criterion comprising:

receiving, at a server computing system, an instruction selecting the base criterion and a different trade criterion from a plurality of criteria, the plurality of criteria selected from criteria for a product;

receiving, at a server computing system, an instruction selecting a starting alternative and a target alternative;

receiving, at the server computing system, a plurality of criteria weights including a weight for each of the plurality of criterion for the product, each criteria weight indicating a relative importance of the product criteria in a trade-off decision relative to the importance of different other ones of the plurality of product criteria;

creating, at the server computing system, a series of virtual alternatives, initially based on the starting alternative, by sequentially eliminating an impact of each non-selected criteria from the plurality of criteria, the impact being eliminated by equalizing the values for each of the non-selected criteria;

comparing, at the server computing system, a virtual alternative of the series of virtual alternatives to the target alternative wherein the virtual alternative only differs from the target alternative by a value of the base criterion; and

determining, by the server computing system, the singular impact of the base criterion based on a difference between the final virtual alternative and the target alternative;

wherein the base criterion is weighted using a base criterion weight that is multiplied by the base criterion value to generate a weighted base criterion and other criterion are weighted by other criterion weights to reflect a user'"'"'s preference for the base criterion relative to other criteria.

17. The method as recited in claim 16 wherein the plurality of criteria are subcomponents of an economic unit capable of being sold.

18. The method as recited in claim 17 wherein the economic unit comprises the starting alternative and the target alternative.

19. The method as recited in claim 16 wherein the singular impact of the base criterion is a unit of currency per the base criterion.

20. A computer implemented method for determining a singular impact of a base criterion comprising:

receiving, at a server computing system, an instruction selecting the base criterion and a trade criterion from N criteria;

wherein the N criteria are available from a product;

receiving, at the server computing system, an instruction selecting a starting alternative and a target alternative;

creating N−

2 sequential virtual alternatives, initially based on the starting alternative, by sequentially eliminating an impact of each non-selected criteria from the N criteria;

comparing a virtual alternative of the series of virtual alternatives to the target alternative wherein the virtual alternative only differs from the target alternative by a value of the base criterion; and

determining, by the server computing system, the singular impact of the base criterion based on a difference between the final virtual alternative and the target alternative;

wherein the base criterion is weighted using a base criterion weight that is multiplied by the base criterion value to generate a weighted base criterion and other criterion are weighted by other criterion weights to reflect a user'"'"'s preference for the base criterion relative to other criteria.

21. The method as recited in claim 20 wherein the N available criteria are subcomponents of an economic unit capable of being sold.

22. The method as recited in claim 21 wherein the economic unit comprises the starting alternative and the target alternative.

23. The method as recited in claim 20 wherein the singular impact of the base criterion is a unit of currency per the base criterion.

24. The computer implemented method as in claim 20, wherein the method further comprises:

selecting the base criterion and a trade criterion from N criteria; and

selecting the starting alternative and the target alternative.

25. A method for analyzing an impact of a desired singular tradeoff for a population of users comprising:

receiving, at a server computing system, an instruction selecting the desired singular tradeoff from the population of users;

collecting, at the server computing system, a plurality of singular tradeoffs in a sequential fashion from the population of users;

collecting, at the server computing system, a plurality of weights including a weight for each of the plurality of tradeoffs, each weight indicating a relative importance of the tradeoff in a trade-off decision relative to the importance of different other ones of the plurality of tradeoffs;

processing the plurality of singular tradeoffs, including weighting the tradeoffs using the tradeoff weights;

analyzing the plurality of singular tradeoffs; and

determining, by the server computing system, the impact of the desired singular tradeoff based on the analyzed plurality of tradeoffs;

wherein a base criterion tradeoff is weighted using a base tradeoff weight that is multiplied by the base tradeoff value to generate a weighted base tradeoff and other tradeoffs are weighted by other tradeoff weights to reflect a user'"'"'s preference for the base tradeoff relative to other tradeoffs.

26. The method as recited in claim 25 wherein the plurality of singular tradeoffs are subcomponents of an economic unit capable of being sold.

27. The method as recited in claim 26 wherein the economic unit is a plurality of economic units comprising the population of users.

28. The method as recited in claim 25 wherein the impact of the desired singular tradeoff is a unit of currency per the desired singular tradeoff.

29. A system for determining a singular impact of a base criterion comprising:

a processor;

a computer readable medium coupled to the processor storing instructions executable by a processor, the instructions defining;

a singular tradeoff engine that accepts a weighted ordered list and operative to determine a singular impact of a base criterion by creating virtual alternatives based on the weighted ordered list; and

a function subroutine engine that accepts parametric values from the singular tradeoff engine and operative to develop a new value to the singular tradeoff engine;

wherein the base criterion is weighted using a base criterion weight that is multiplied by the base criterion value to generate a weighted base criterion and other criterion are weighted by other criterion weights to reflect a user'"'"'s preference for the base criterion relative to the criteria selected from the product.

30. The system as recited in claim 29 wherein the weighted ordered list comprises subcomponents of an economic unit capable of being sold.

31. The system as recited in claim 30 wherein the economic unit is a plurality of economic units and the virtual alternatives are created based on the plurality of economic units.

32. The system as recited in claim 29 wherein the singular impact of a base criterion is a unit of currency per the base criterion.

33. A method for determining a value a consumer places on a desired product component comprising:

receiving, at a server computing system, a transmission providing a first product that does not contain the desired product component and a second product that does contain the desired product component;

creating a series of simulated products, initially based on the first product, by sequentially eliminating an impact of one or more product components that are not the desired product component;

comparing a final simulated product to the second product;

determining, by the server computing system, the value based on a difference between the final simulated product and the second product; and

wherein the desired product component is weighted using a desired product component weight that is multiplied by the desired product component value to generate a weighted desired product component and other product components are weighted by other product component weights to reflect a user'"'"'s preference for the desired product component relative to the one or more product components.

34. The method as recited in claim 33, wherein the method further comprises:

prior to receiving said transmission, identifying said first product that does not contain the desired product component and said second product that does contain the desired product component.

35. The method as recited in claim 33 wherein the value comprises a monetary unit per the desired product component.