ICT Configuration Evaluation Automating Quantitative Requirement Normalization

The system enables self-service automation by having the computer automatically determine units, optimization directions, and weights for quantitative requirements without manual intervention. The computer acquires configuration proposal information, automatically identifies quantitative requirements, determines their units based on the information, identifies optimization directions from requirement descriptions, and calculates weights using machine learning models, thereby eliminating the need for manual adjustment while maintaining evaluation accuracy

The patent replaces the mechanical manual adjustment process with an automated computational system. Instead of manually setting units, optimization directions, and weights, the system uses computer-based automated determination and machine learning models to substitute the manual mechanical process, achieving both automation and accuracy

The system manages multiple quantitative requirements by dynamically determining units, optimization directions, and weights as parameters for each requirement. The computer adapts these parameters based on the specific configuration proposal and requirement types, allowing flexible handling of multiple quantitative factors without fixed complex structures, thereby improving design quality while managing processing complexity through adaptive parameter adjustment

The patent creates a universal evaluation framework that can handle multiple types of quantitative requirements (bandwidth, delay, cost, etc.) through a single integrated system. The computer performs multiple functions including acquiring configuration information, determining units for different requirement types, identifying optimization directions, and calculating weights, thereby managing design quality across multiple quantitative factors without proportionally increasing processing complexity