基于云模型的网络地理空间情报服务质量综合评估

Comprehensive Evaluation of eGEOINT Quality Based on Cloud Model

[目的/意义]针对网络地理空间情报服务质量评估指标体系不完善、评估结果人为因素影响大等问题,将云模型引入网络地理空间情报服务质量评估中,以提高评估结果的科学性和合理性。[方法/过程]文章在充分考虑网络地理空间情报服务功能、性能,以及传统网络服务质量评估模型的基础上,采用层次分析法建立完整的质量评估指标体系并给出了指标权重及其计算方法,利用逆向云和综合云计算模型得到评估指标到质量等级的映射,并实证分析了该评估方法的可行性。[结果/结论]实验结果表明,该方法将定性分析和定量分析相结合,可有效提高评估结果的精细化程度,为地理空间情报服务质量评估提供有益参考。

[Purpose/significance] At present,the quality evaluation index system of eGEOINT is incomplete,and the evaluation results are greatly affected by human factors.Cloud model is applied to improve the scientificity and rationality of eGEOINT quality evaluation.[Method/process] In this paper,on the basis of fully considering the function and performance of network geospatial intelligence service and the traditional evaluation model of network service quality,a complete quality evaluation index system is established by the analytic hierarchy process(AHP) and the weight of the index is determined.The numerical transformation between the evaluation quality level and the indicators are calculated based on reverse cloud computing and integrated cloud computing.[Result/conclusion] The experimental results show that the method can effectively improve the refinement of the assessment results by combining qualitative analysis with quantitative analysis,and provide a useful reference for the assessment of the quality of geospatial intelligence service.