Nec corporation (20240119107). EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract
Contents
- 1 EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Organization Name
Inventor(s)
Tomoyuki Nishiyama of Tokyo (JP)
EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119107 titled 'EVALUATION APPARATUS, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Simplified Explanation
The evaluation apparatus described in the abstract is designed to acquire combination determination information from an indicator selection apparatus and generate evaluation information for an evaluation target based on this information.
- Combination acquisition unit acquires combination determination information from an indicator selection apparatus.
- Combination determination information includes a combination of a category variable and at least one support variable related to an evaluation target.
- Plurality of groups are determined based on the value of the category variable.
- Statistic of the support variable is generated for each group.
- Evaluation unit generates evaluation information for each support variable based on the value of the support variable of the evaluation target and the statistic of the support variable of the corresponding group.
Potential Applications
This technology can be applied in various fields such as data analysis, market research, and performance evaluation.
Problems Solved
This technology helps in efficiently evaluating and analyzing data by considering multiple indicators and support variables simultaneously.
Benefits
- Improved accuracy in evaluation processes - Enhanced decision-making based on comprehensive data analysis
Potential Commercial Applications
- Market research companies - Financial institutions - Government agencies
Possible Prior Art
One possible prior art could be the use of statistical analysis software in research and evaluation processes to analyze data based on multiple variables.
Unanswered Questions
How does the evaluation unit determine the weightage of each support variable in generating the evaluation information?
The abstract does not provide details on how the evaluation unit assigns importance to different support variables in the evaluation process.
What is the computational complexity of the evaluation process described in the patent application?
The abstract does not mention the computational resources required for the evaluation apparatus to generate evaluation information for each support variable.
Original Abstract Submitted
an evaluation apparatus includes a combination acquisition unit and an evaluation unit. the combination acquisition unit acquires combination determination information from an indicator selection apparatus. the combination determination information determines a combination of a category variable being one of a plurality of indicators related to an evaluation target and at least one support variable each being the indicator different from the category variable. further, a plurality of groups are determined based on a value of the category variable. then, a statistic of the support variable is generated for each of the plurality of groups. the evaluation unit generates, for each of the support variables, evaluation information, for example, an evaluation value by using a value of the support variable of the evaluation target and the statistic of the support variable of the group to which the value of the category variable of the evaluation target belongs.
