Construction of Intelligent Equipment Capability Evaluation System
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摘要: 人工智能发展促使战争形态与模式转变, 智能装备成为智能化战争的主角。为了科学衡量装备能力, 针对当前面向智能装备评估的不足, 围绕方法、指标、要素和体系展开研究。首先, 总结了常用装备能力的评估方法, 整理智能装备评估的思路; 其次, 从能力要求、性能参数和任务能力等方面, 分析了智能装备的能力指标; 然后, 细化智能化多维度能力, 给出了智能装备能力评估的要素组成; 最后, 提炼六大标准模块, 构建了面向智能装备能力评估体系。Abstract: The development of artificial intelligence promotes the transformation of the form and mode of war, and intelligent equipment has become the protagonist of intelligent war. In order to measure the capability of equipment scientifically, aiming at the shortcomings of the current assessment of intelligent equipment, the research is carried out around the methods, indicators, elements and systems. Firstly, summarized the evaluation methods of equipment capability, and sorted out the ideas of intelligent equipment evaluation. Secondly, analyzed the capability index of intelligent equipment from the aspects of capability requirements, performance parameters and task capability. Then, refined the intelligent multi-dimensional capability, and given the elements of intelligent equipment capability evaluation. Finally, six standard modules are refined, and a capability evaluation system for intelligent equipment is constructed.
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Key words:
- intelligent equipment /
- evaluation system /
- intelligent warfare /
- capability composition
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图 2 智能装备能力评估体系框架
Figure 2. Framework of intelligent equipment capability evaluation system
表 1 不同类型的传统评估方法
Table 1. Different types of traditional evaluation methods
类型 方法 内容 特点 网络法 效果[6] 构建指标体系, 进行体系能力架构开发 层次开发与开放架构相结合 作战[7] 装备实体抽象成网络节点, 信息流为边 突出关联关系对能力的影响 仿真法 对抗仿真[8] 建立综合性对抗仿真环境, 以体系模型为背景 复杂系统、动态试验、多维对比 半实物仿真[9] 以情报数据为输入, 测量通过装备产生的输出 局部模型、局部实物 主观法 层次 分析法[10] 建立层次结构模型, 其次构造判断矩阵 定性和定量相结合 专家评价法[11] 设置等级区间和评分标准, 行业领域专家打分 基于专业知识和经验, 具有数理统计特性 客观法 加权分析法[12] 给评价指标或要素赋予权重 比较客观和全面, 综合考虑不同因素 回归[13] 通过数学模型来探究因变量和自变量之间的因果关系 因果变量具有统计学的显著性 复合法 模糊评估法[14] 确定隶属函数和等级, 利用判断矩阵和权重表述 结果是相对的, 明确应用场景和限制条件 聚类分析法[15] 数据分为多个等级或类别, 比较差异或相似性 多变量统计方法 效能分析法[16] 从多个层面衡量工作成果的尺度 关注效率和效果的综合评估 FA-ER[17] 基于函数将证据推理转换为非线性问题, 使用萤火虫算法寻优 克服评估主观性, 提高结果准确度, 适用性较好 
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