Determination Result Tables for Multi-Material Decision Automation
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Solution Overview
Problem
Current methods relying on conditional branch and iterative processing in programming languages fail to effectively reflect requests from multiple determination materials in computerized 'determination' processes, necessitating human intervention and leading to inconsistent results.
Innovation Solution
A method involving the creation of tables associating determination result information with attributes, generating and sorting combinations of determination grounds information based on importance, and using these sorted combinations to compute comprehensive determination results, enabling computerized processing of multiple determination materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conditional branch and iterative processing are used in existing programming languages, then the control structure can handle basic determination logic, but requests from multiple determination materials cannot be fully reflected in the determination result
Solution Approach 1:
The patent segments the determination process into distinct components: determination materials, determination requests, importance values, and determination results. Each determination material is treated as a separate entity with its own requests and importance level, allowing the system to process and reflect all requests individually rather than losing them in conditional branch logic
Solution Approach 2:
The patent introduces a new dimensional approach by adding importance values as a quantitative dimension to determination materials. This transforms the traditional binary conditional logic into a multi-dimensional evaluation system where requests are weighted by importance, enabling comprehensive reflection of all determination material requests in the final result
2Reliability
If human determination is used to ensure all requests are reflected, then comprehensive determination can be achieved, but productivity is reduced and human error occurs
Solution Approach 1:
The patent replaces the mechanical human determination process with an automated information processing system. The system uses structured data representation of determination materials, requests, and importance values, combined with automated processing logic that calculates determination results based on all inputs, eliminating human error while maintaining comprehensive request reflection and improving productivity
Solution Approach 2:
The patent transforms qualitative human judgment into quantitative parameters by assigning importance values to determination materials and their requests. This parameterization enables automated calculation of determination results while preserving the comprehensiveness that human determination provided, as the system systematically processes all parameterized requests rather than selectively addressing them
3Device complexity
If existing programming control structures are used, then simple determination logic can be implemented, but the complexity increases when handling multiple determination materials with different importance levels
Solution Approach 1:
The patent creates a universal determination processing framework that can handle any number of determination materials with varying importance levels through a single standardized structure. The system uses consistent data representations and processing logic that automatically adapts to different numbers and types of determination materials, eliminating the need for complex conditional structures for each specific case
Data Source
AI summary
This invention computerizes work requiring a “determination” that reflects all requests for each of a plurality of determination materials. A table 011 that associates “a combination of determination grounds information” and “determination result information” is formed by making use of: the fact that determination result information is information of a limited scope according to the purpose and the content of determination work; and the fact that a feature, performance, price, application or the like included in the determination result information, which serve as “grounds” for making a determination, are used as a “combination of determination grounds information”, which makes it possible to identify the determination result information. In addition, on the basis of a determination material importance set in a table 012 and the determination grounds information and the importance setting for each of the determination materials, a “combination of determination grounds information” is generated; a process 013 is executed for reordering combinations in the selection priority order; a process 014 is executed for searching for a “combination of determination grounds information” in the table 011 on the basis of the generated information; and associated “determination result information” is thus referenced and a result 015 is output.