装备试验数据质量综合评价指标体系与建模方法

Comprehensive evaluation index system and modeling method for equipment test data quality

装备试验数据是支撑装备论证、鉴定、改进的重要资料,数据质量评价是提升装备试验数据质量,促进数据效益发挥的基础。考虑装备试验数据类型多、专业广、体量大等特点,本文从政策环境、固有质量、效用质量3个方面,提出装备试验数据质量评价的12个维度及28个定性、定量指标。基于群体决策、模糊决策图等方法,提出装备试验数据质量评价的综合建模方法。该方法能够针对特定问题有效选取核心评价指标,获取存在影响关系指标的权重,进而定量求解装备试验数据质量得分。最后,通过案例分析验证指标及模型的有效性。

Quality evaluation plays an important role in improving the quality of equipment test data which is very useful for equipment demonstration identification and improvement.Considering the characteristics of the equipment test data,28 indexes divided into 12 dimensions are presented to assess the data quality.Based on the group decision making and fuzzy decision map methods,the modeling way of equipment test data quality problem is proposed.The approach can select the fit indexes,derive indexes'priorities,and achieve data quality score.In the end,a numerical example is given to verify the effectiveness of the proposed method.