20240028187. MULTI-CRITERIA OPTION COMPARISON TOOL simplified abstract (The MITRE Corporation)

MULTI-CRITERIA OPTION COMPARISON TOOL

Organization Name

The MITRE Corporation

Inventor(s)

Gary Lee Klein of Reston VA (US)

Brittany Allison Tracy of Garden City GA (US)

Elizabeth Haines of Bellingham MA (US)

Thomas W. Whieldon of Roy WA (US)

Christopher M. Berger of Lowell MA (US)

Gavin Timothy Plesko of Melrose MA (US)

Mark Stephen Pfaff of Woburn MA (US)

MULTI-CRITERIA OPTION COMPARISON TOOL - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240028187 titled 'MULTI-CRITERIA OPTION COMPARISON TOOL

Simplified Explanation

The disclosed patent application describes a computer-implemented method for aggregating and evaluating options based on predefined criteria. The method involves displaying a user-modifiable chart that visually represents the aggregated option evaluation data. Each graphical representation in the chart depicts data points plotted with weights, and the representations are visually ordered according to the rank of the predefined criteria. The weights are determined based on the rank of the criteria. The method also allows users to modify the rank of criteria, which automatically updates the weights of the data points. The updated chart is then displayed to the user.

• The patent application describes a computer-implemented method for aggregating and evaluating options based on predefined criteria.
• The method involves displaying a user-modifiable chart that visually represents the aggregated option evaluation data.
• Each graphical representation in the chart depicts data points plotted with weights.
• The graphical representations are visually ordered according to the rank of the predefined criteria.
• The weights of the data points are based on the rank of the criteria.
• Users can modify the rank of criteria, which automatically updates the weights of the data points.
• The updated chart is then displayed to the user.

Potential Applications:

• Decision-making tools: The method can be used in various decision-making scenarios where options need to be evaluated based on multiple criteria. It can be applied in business, finance, project management, and other fields.
• Product comparison: The method can be utilized to compare and evaluate different products or services based on various criteria, helping consumers make informed choices.
• Performance evaluation: The method can be employed in performance evaluations, allowing managers to assess employees or teams based on predefined criteria and visualize the results.

Problems Solved:

• Complex evaluation process: The method simplifies the process of aggregating and evaluating options by providing a visual representation that allows users to easily understand and compare the data.
• Subjectivity in evaluation: By using predefined criteria and weights based on the rank of the criteria, the method helps reduce subjectivity in the evaluation process, providing a more objective assessment.

Benefits:

• Enhanced decision-making: The method provides a clear and visual representation of option evaluation data, enabling users to make more informed decisions.
• Customizability: Users can modify the rank of criteria, allowing them to prioritize certain factors according to their specific needs and preferences.
• Time-saving: The method automates the process of updating weights based on user input, saving time and effort in manually recalculating the evaluation data.

Original Abstract Submitted

disclosed herein is a computer-implemented method comprising: aggregating option evaluation data for a plurality of options and for a plurality of predefined criteria; graphically displaying the user modifiable chart comprising the plurality of graphical representations of the aggregated option evaluation data, wherein: each graphical representation depicts data points visually plotted with weights, the plurality of graphical representations for the plurality of predefined criteria are visually ordered according to a rank of the plurality of predefined criteria, and the weights are based on the rank of the plurality of predefined criteria; detecting a first user input modifying the rank of at least one predefined criterion; in accordance with the first user input, automatically updating the weights of the data points; and displaying an updated user modifiable chart comprising the plurality of graphical representations of the aggregated option evaluation data.