Benefit Qualification Graph Analysis for Status Change Explanation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current benefit analysis systems only provide current benefit qualification status and do not track changes or generate explanations for benefit qualification status changes, making it difficult for individuals to plan their finances and life choices effectively.
Innovation Solution
A computer-implemented method and system that uses benefit calculation and explanation engines to analyze differences in benefit qualification graphs across different periods, generating textual explanations for changes in benefit qualification status by identifying additions, deletions, or function changes in the graphs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If benefit analysis systems only provide current benefit qualification status, then the system complexity is reduced, but the usefulness for financial planning is insufficient
Solution Approach 1:
The system segments the benefit qualification analysis into multiple time periods (first benefit qualification period and second benefit qualification period) and compares the qualification status across these segments. This allows the system to maintain simplicity while providing historical change information by dividing the analysis into manageable temporal segments.
Solution Approach 2:
The system performs preliminary benefit qualification analysis for multiple future time periods in advance, storing the results for later comparison. This preliminary action enables the system to provide both current status and historical changes without increasing operational complexity during actual use.
2Loss of information
If the system tracks and generates explanations for benefit qualification status changes, then the usefulness for financial planning is improved, but the device complexity increases
Solution Approach 1:
The system extracts only the critical difference elements between benefit qualification graphs at different time periods. Instead of analyzing and displaying all graph elements, it takes out and focuses on the specific nodes and connections that have changed, reducing the complexity burden while maintaining informative output.
Solution Approach 2:
The system introduces an explanation engine as an intermediary component that automatically generates human-readable explanations for qualification status changes. This intermediary translates complex graph differences into understandable text, managing the complexity burden by automating the explanation generation process.
3Loss of information
If the system provides detailed explanations for benefit qualification changes, then the quality of financial planning information is improved, but the processing time increases
Solution Approach 1:
The system performs benefit qualification analysis for multiple time periods in advance and stores the results. By conducting this analysis preliminarily, the system reduces processing time during actual use while maintaining high explanation quality, as the comparative work has already been performed.
Solution Approach 2:
The system extracts only the critical difference elements between benefit qualification graphs rather than performing complete re-analysis. This extraction approach maintains explanation quality by focusing on relevant changes while significantly reducing processing time by avoiding redundant analysis of unchanged elements.
Data Source
AI summary
A computer-implemented method for generating an explanation for a benefit qualification status change over different benefit qualification periods includes a computing device executing a benefit calculation engine. The benefit calculation engine operates on first and second benefit completeness graphs from respective first and second benefit qualification periods to perform first and second benefit qualification status determination. The first and second benefit completeness graphs each describe data dependent benefit qualification operations including a plurality of interconnecting functional nodes connected by one of a plurality of functions. The method also includes the computing device identifying the differences among nodes within the first benefit completeness graph and the second benefit completeness graph. The method further includes the computing device executing an explanation engine associated with the benefit calculation engine to generate a textual explanation identifying one or more differences among the nodes.