系统能力评估算法研究

International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023) Pub Date : 2024-01-09 DOI:10.1117/12.3014565

Lanlan Gao, Yijing Liu, Jian Le, Kai Qiu

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引用次数: 0

摘要

传统的系统能力评估方法已无法应对系统评估中的挑战。需要进一步开发和创新算法。本文针对系统设计过程中遇到的新挑战，提出了以能力测量值评估、能力优劣评估、能力提升与下降评估为核心的系统能力评估算法。这些都为确定系统的重点、方向、规模比例和改进优化提供了科学依据。

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Research on system capability assessment algorithms

The traditional system capability assessment methods are no longer able to address the challenges in system evaluation. Further development and innovation in algorithms are needed. This paper addresses the new challenges encountered in the system design process and proposes a system capability assessment algorithm centered around the evaluation of capability measurement values, capability advantages and disadvantages, as well as capability improvement and decline. These provide a scientific basis for determining the focus, direction, scale proportion, and improvement optimization of the system.

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International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)

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