基于多灰类任务场景的评价指标体系有效性聚类验证方法
By using a clustering verification method based on the evaluation index system of multiple gray-class task scenarios, the applicability and comprehensiveness of the evaluation index system for the combat capability of equipment systems were solved, achieving a more scientific and comprehensive evaluation and improving the quality and efficiency of the combat capability assessment of equipment systems.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN UNIV OF TECH
- Filing Date
- 2024-08-05
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively verify the applicability and comprehensiveness of the evaluation index system for the combat capability of equipment systems, resulting in insufficient scientific rigor and objectivity in the evaluation results.
We adopt a clustering verification method for the effectiveness of the evaluation index system based on multi-gray class task scenarios. By dividing the gray classes for verification and evaluation and determining the clustering weights, we generate multi-gray class task scenarios, use gray clustering algorithm for verification, and combine expected and abnormal application scenarios to analyze the effectiveness of the evaluation index system.
It enhances the completeness and accuracy of the evaluation index system, improves the objectivity and comprehensiveness of the evaluation, provides an assessment of the adaptability and flexibility of the equipment system under different environments, and improves the quality and efficiency of the evaluation work.
Smart Images
Figure CN118940065B_ABST