Method and system for analytic network process (ANP) rank influence analysis
First Claim
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1. An apparatus comprising:
- an analytic network process (ANP) storage memory that stores an ANP model with feedback connections in place among nodes within the ANP model and with at least preliminary input of data stored in the ANP model; and
a processor in communication with the ANP storage memory, the processor being configured to facilitateperforming a rank influence analysis on the ANP model, wherein the rank influence analysis determines one or more nodes among the nodes in the ANP model in which a smallest upward or downward change in importance will change a rank among the nodes in the ANP model, so as to determine which one or more nodes have the most influence on the rank among the nodes in the ANP model.
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Abstract
An apparatus includes an analytic network process (ANP) storage memory that stores an ANP model with feedback connections in place among nodes within the ANP model and with at least preliminary input of data stored in the ANP model, and a processor in communication with the ANP storage memory. The process performs a rank influence analysis on the ANP model, wherein the rank influence analysis determines one or more nodes among the nodes in the ANP model in which a smallest upward or downward change in importance will change a rank among the nodes in the ANP model, so as to determine which one or more nodes have the most influence on the rank among the nodes in the ANP model.
54 Citations
28 Claims
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1. An apparatus comprising:
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an analytic network process (ANP) storage memory that stores an ANP model with feedback connections in place among nodes within the ANP model and with at least preliminary input of data stored in the ANP model; and a processor in communication with the ANP storage memory, the processor being configured to facilitate performing a rank influence analysis on the ANP model, wherein the rank influence analysis determines one or more nodes among the nodes in the ANP model in which a smallest upward or downward change in importance will change a rank among the nodes in the ANP model, so as to determine which one or more nodes have the most influence on the rank among the nodes in the ANP model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method, comprising:
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storing, in an analytic network process (ANP) storage memory, an ANP model with feedback connections in place among nodes within the ANP model and with at least preliminary input of data stored in the ANP model; and in a processor in communication with the ANP storage memory, performing a rank influence analysis on the ANP model, wherein the rank influence analysis determines one or more nodes among the nodes in the ANP model in which a smallest upward or downward change in importance will change a rank among the nodes in the ANP model, so as to determine which one or more nodes have the most influence on the rank among the nodes in the ANP model. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory computer-readable storage medium encoded with a computer executable instructions, wherein execution of said computer executable instructions by one or more processors causes a computer to perform the steps of:
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storing, in an analytic network process (ANP) storage memory, an ANP model with feedback connections in place among nodes within the ANP model and with at least preliminary input of data stored in the ANP model; and in a processor in communication with the ANP storage memory, performing a rank influence analysis on the ANP model, wherein the rank influence analysis determines one or more nodes among the nodes in the ANP model in which a smallest upward or downward change in importance will change a rank among the nodes in the ANP model, so as to determine which one or more nodes have the most influence on the rank among the nodes in the ANP model. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25)
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26. An apparatus comprising:
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an analytic network process (ANP) storage memory that stores an ANP model with feedback connections in place among nodes within the ANP model and with at least preliminary input of data stored in the ANP model; and a processor in communication with the ANP storage memory, the processor being configured to; perform a rank influence analysis on the ANP model, wherein the rank influence analysis determines one or more nodes among the nodes in the ANP model in which a smallest upward or downward change in importance will change a rank among the nodes in the ANP model, so as to determine which one or more nodes have the most influence on the rank among the nodes in the ANP model; determine a rank score for the nodes among the nodes in the ANP model based on an amount of upward or downward change in importance that causes a change in the rank among the nodes in the ANP model; indicate the nodes determined to have the most influence; prompt a user to input refined data for the nodes determined to have the most influence while skipping input for other nodes in the ANP model; provide, for output to a user, a display showing a magnitude of rank influence for the nodes in the ANP model; base the rank of each node in the ANP model on an amount of influence each said node has on rankings of alternatives in the ANP model; and an input unit configured to input, from an input device to the processor, pairwise comparisons, ANP ratings, or ANP client data, which are stored as the data in the ANP model, the pairwise comparisons representing a judgment of priority between ANP alternatives in the pair, the ANP ratings representing a rating of a choice, and the ANP client data representing real world values, wherein the rank influence analysis is performed by finding upper and lower rank change parameter values for alternatives ordered in a weighted supermatrix representing the ANP model, wherein the amount of upward or downward change in importance that causes a change in the rank among the nodes in the ANP model is obtained by an upper rank influence score and a lower rank influence score. - View Dependent Claims (27, 28)
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Specification