Patents Assigned to Decision Lens, Inc.
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Patent number: 11500906Abstract: A subgraph storage memory stores subgraphs populated with data classified into features based on data title; each of the subgraphs has a plurality of elements; each of the elements has a features with different values. For each subfeature of a plurality of subfeatures, the different values assigned to a combination of one of the elements and one or more features are used to create a method to evaluate the subgraphs on the one or more features, as a subfeature which provides scoring information on a subgraph. For each metafeature, plural subfeatures among the plurality of subfeatures are selected to be composited into the metafeature; and for each subgraph, the plural subfeatures of each metafeature are composited to provide metafeature scores. Selected subgraphs in a universe of subgraphs with metafeature scores are presented as context for comparing the selected subgraphs; each of the selected subgraphs has different selections of elements.Type: GrantFiled: November 19, 2020Date of Patent: November 15, 2022Assignee: Decision Lens Inc.Inventors: William James Louis Adams, Kevin John Connor, Gavin Thomas Byrnes
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Patent number: 11461553Abstract: A computer inputs data including different verbal judgment sets. Each different verbal judgment set includes words which are votes that define different rank values and each represents an evaluation of an alternative. The processor determines a word similarity score of each word in the verbal judgment sets to predefined words in a predefined scale. The processor determines a set similarity score between the different verbal judgment set and the predefined scale based on the words included in the different verbal judgment set and the predefined words within the predefined scale. The processor maps the words of the different verbal judgment sets to a numerical scale that corresponds to the predefined scale, based on the set similarity score. The processor interprets the different verbal judgment sets in the universe of known data based on the numerical scale and provides cleansed data which is used by a data-dependent application.Type: GrantFiled: October 14, 2019Date of Patent: October 4, 2022Assignee: Decision Lens, Inc.Inventor: William James Louis Adams
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Patent number: 8832013Abstract: An apparatus includes an analytic network process (ANP) storage memory that stores an ANP model populated with data, the ANP model having feedback connections in place among nodes within the ANP model, and a processor in communication with the ANP storage memory. The processor is configured to facilitate selecting one or more metrics to use to determine influence of criteria within the ANP model. Also, the processor determines a combined influence score, the combined influence score being a single score for each of the criteria in the ANP model. Also, the processor determines which of the criteria in the ANP model is most influential among the criteria in the ANP model, for the one or more metric which is selected to use to determine the influence of the nodes in the ANP model.Type: GrantFiled: November 11, 2011Date of Patent: September 9, 2014Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8732115Abstract: An analytic network process (ANP) storage memory stores an ANP weighted supermatrix representing an ANP model. A processor is in communication with the ANP storage memory. The processor is configured to change priorities of a node in the ANP weighted supermatrix to be more important, to change priorities of the node in the ANP weighted supermatrix to be less important, and to assess a sensitivity of the node which was changed relative to the ANP model. The processor further is configured to maintain a same proportionality in the ANP weighted supermatrix for the changing of the priorities and the assessing of the relative sensitivity.Type: GrantFiled: February 11, 2013Date of Patent: May 20, 2014Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8725664Abstract: An apparatus includes an analytic network process (ANP) storage memory that stores an ANP weighted supermatrix representing an ANP model; and a processor in communication with the ANP storage memory. The processor is configured to facilitate measuring how alternatives synthesize with respect to a fixed node in the stored ANP weighted supermatrix to determine a perspective metric vector for the fixed node. Also, the processor maintains a same proportionality in the stored ANP weighted supermatrix for the measuring of the perspective metric vector for the fixed node.Type: GrantFiled: May 9, 2012Date of Patent: May 13, 2014Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8660982Abstract: An apparatus includes an analytic network process (ANP) storage memory that stores an ANP weighted supermatrix representing an ANP model; and a processor in communication with the ANP storage memory. The processor is configured to facilitate measuring an instantaneous rate of change of alternative scores with respect to a fixed node of the ANP model, to determine a marginal influence of the fixed node. Also, the processor is configured to facilitate maintaining a same proportionality in the stored ANP weighted supermatrix as an importance of the fixed node is changed to measure the instantaneous rate of change.Type: GrantFiled: September 12, 2012Date of Patent: February 25, 2014Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8595169Abstract: 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.Type: GrantFiled: November 7, 2011Date of Patent: November 26, 2013Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8554713Abstract: A computer-implemented system is provided for an analytic network process (ANP) control structure with feedback throughout the ANP control structure. The computer-implemented system includes an ANP control structure storage unit that stores an ANP control structure with feedback throughout the ANP control structure. Also included is a synthesizer that performs a BOCR calculation on the ANP control structure with feedback throughout the ANP control structure, to yield a result which is proper according to ANP theory when values are non-trivial. Also disclosed is a computer-implemented method for an analytic network process (ANP) control structure with feedback through the ANP control structure, and a related computer-readable storage medium encoded with a computer program.Type: GrantFiled: October 23, 2012Date of Patent: October 8, 2013Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8447820Abstract: A computer includes, among other things, local modules contained within a module container of a same application; a message producer unit to communicate with a data server over the i/o interface; a message consumer unit configured to communicate with the data server over the i/o interface; and a local event manager unit. There is a pre-defined sequence of processing events between the local event manager unit, the local modules within the same application of the same module container, remote modules, the message producer unit, and the message consumer unit.Type: GrantFiled: January 28, 2011Date of Patent: May 21, 2013Assignee: Decision Lens, Inc.Inventor: Ryan Patrick Gay
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Patent number: 8429115Abstract: An analytic network process (ANP) storage memory stores an ANP weighted supermatrix representing an ANP model. A processor is in communication with the ANP storage memory. The processor fixes each one of plural nodes one at a time in the ANP model and measures a row sensitivity of each of the nodes as it is fixed, the row sensitivity being measured using one or both of (i) a predetermined increase value and (ii) a predetermined decrease value. Also, it scores how much synthesized alternatives scores found by doing ANP row sensitivity on each of the fixed nodes change from original values thereof, to generate a value indicating a change distance for each of the nodes. A same proportionality is maintained in the stored ANP weighted supermatrix as the fixed node is changed by the predetermined increase and/or decrease values.Type: GrantFiled: December 23, 2009Date of Patent: April 23, 2013Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8423500Abstract: An analytic network process (ANP) storage memory stores an ANP weighted supermatrix representing an ANP model. A processor is in communication with the ANP storage memory. The processor is configured to change priorities of a node in the ANP weighted supermatrix to be more important, to change priorities of the node in the ANP weighted supermatrix to be less important, and to assess a sensitivity of the node which was changed relative to the ANP model. The processor further is configured to maintain a same proportionality in the ANP weighted supermatrix for the changing of the priorities and the assessing of the relative sensitivity.Type: GrantFiled: December 23, 2009Date of Patent: April 16, 2013Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Publication number: 20130046718Abstract: A computer-implemented system is provided for an analytic network process (ANP) control structure with feedback throughout the ANP control structure. The computer-implemented system includes an ANP control structure storage unit that stores an ANP control structure with feedback throughout the ANP control structure. Also included is a synthesizer that performs a BOCR calculation on the ANP control structure with feedback throughout the ANP control structure, to yield a result which is proper according to ANP theory when values are non-trivial. Also disclosed is a computer-implemented method for an analytic network process (ANP) control structure with feedback through the ANP control structure, and a related computer-readable storage medium encoded with a computer program.Type: ApplicationFiled: October 23, 2012Publication date: February 21, 2013Applicant: DECISION LENS, INC.Inventor: Decision Lens, Inc.
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Patent number: 8341103Abstract: A computer-implemented system is provided for an analytic network process (ANP) control structure with feedback throughout the ANP control structure. The computer-implemented system includes an ANP control structure storage unit that stores an ANP control structure with feedback throughout the ANP control structure. Also included is a synthesizer that performs a BOCR calculation on the ANP control structure with feedback throughout the ANP control structure, to yield a result which is proper according to ANP theory when values are non-trivial. Also disclosed is a computer-implemented method for an analytic network process (ANP) control structure with feedback through the ANP control structure, and a related computer-readable storage medium encoded with a computer program.Type: GrantFiled: July 24, 2009Date of Patent: December 25, 2012Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8315971Abstract: An apparatus includes an analytic network process (ANP) storage memory that stores an ANP weighted supermatrix representing an ANP model; and a processor in communication with the ANP storage memory. The processor is configured to facilitate measuring an instantaneous rate of change of alternative scores with respect to a fixed node of the ANP model, to determine a marginal influence of the fixed node. Also, the processor is configured to facilitate maintaining a same proportionality in the stored ANP weighted supermatrix as an importance of the fixed node is changed to measure the instantaneous rate of change.Type: GrantFiled: December 23, 2009Date of Patent: November 20, 2012Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Patent number: 8239338Abstract: An apparatus includes an analytic network process (ANP) storage memory that stores an ANP weighted supermatrix representing an ANP model; and a processor in communication with the ANP storage memory. The processor is configured to facilitate measuring how alternatives synthesize with respect to a fixed node in the stored ANP weighted supermatrix to determine a perspective metric vector for the fixed node. Also, the processor maintains a same proportionality in the stored ANP weighted supermatrix for the measuring of the perspective metric vector for the fixed node.Type: GrantFiled: December 23, 2009Date of Patent: August 7, 2012Assignee: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Publication number: 20110022556Abstract: A computer-implemented system is provided for an analytic network process (ANP) control structure with feedback throughout the ANP control structure. The computer-implemented system includes an ANP control structure storage unit that stores an ANP control structure with feedback throughout the ANP control structure. Also included is a synthesizer that performs a BOCR calculation on the ANP control structure with feedback throughout the ANP control structure, to yield a result which is proper according to ANP theory when values are non-trivial. Also disclosed is a computer-implemented method for an analytic network process (ANP) control structure with feedback through the ANP control structure, and a related computer-readable storage medium encoded with a computer program.Type: ApplicationFiled: July 24, 2009Publication date: January 27, 2011Applicant: Decision Lens, Inc.Inventors: William James Louis Adams, Daniel Lowell Saaty
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Publication number: 20080256054Abstract: A method, system, and device targets contents according to the preferences of a particular user. A content is associated with one or more content category alternatives, and is different from other contents. Pairwise comparisons for a particular user for a set of content category alternatives are input into a computer, wherein a pairwise comparison includes a judgment between preferences as a relative importance between two content category alternatives. A weighted prioritization of the content category alternatives of the pairwise comparisons for the particular user is prepared in the computer, according to an analytic hierarchy process. The weighted prioritization of the content category alternatives for the particular user is applied, in the computer, to the contents. A weight is associated with the content according to the weighted prioritizations of the content category alternative corresponding to the content categorization of the contents. The contents are provided according to the weight.Type: ApplicationFiled: April 10, 2007Publication date: October 16, 2008Applicant: Decision Lens, Inc.Inventor: John Marshall Saaty
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Publication number: 20080103880Abstract: A computer-implemented method provides for collecting votes on importances in an existing analytic network process (ANP) model, the ANP model having items which are influence linked. The votes to be collected are determined, wherein the votes are with respect to items in the ANP model, the items being influence linked, and wherein a vote represents an importance of two or more influence linked items. An item can be a control criteria, an element, or a cluster. Also, at least a portion of the votes are collected automatically or semi-automatically, including collecting votes on two or more pairs of items where the items are in the same cluster with respect to a different item that is in the same cluster or a different cluster, and collecting votes on items where the items are clusters or control criteria.Type: ApplicationFiled: October 26, 2006Publication date: May 1, 2008Applicant: Decision Lens, Inc.Inventor: Daniel Saaty