空间数据质量的区间直觉模糊集多属性群评价  

Spatial data quality group evaluation based on interval valued intuitionistic fuzzy set

作　　者：万奇灵[1] 胡圣武[2] WAN Qiling;HU Shengwu(Chongqing Institute of Surveying and Planning for Land Resource and Housing, Chongqing 4 0 0 0 1 5 , China;School of Surveying and Landing Information Engineering, Henan Polytechnic University ,Jiaozuo 4 5 4 0 0 0 , Henan ’China)

机构地区：[1]重庆市国土资源和房屋勘测规划院,重庆400015 [2]河南理工大学测绘与国土信息工程学院,河南焦作454000

出　　处：《河南理工大学学报（自然科学版）》2016年第4期512-519,共8页Journal of Henan Polytechnic University（Natural Science）

基　　金：国家自然科学基金-河南省人才培养联合基金资助项目(U1304401)

摘　　要：为研究空间数据不确定性对空间数据质量评价的影响,提出用区间直觉模糊集理论和多位专家综合意见对空间数据质量进行评价。通过实例计算表明:采用区间直觉模糊集IIFHA或IIFHG算子的评价结果与得分加权函数评价方法结果一致,但区间直觉模糊集IIFHA或IIFHG算子能充分考虑空间数据质量信息自身的重要性程度,且能同时考虑肯定、否定和不确定3种不同的空间数据信息,因此,评价结果更能反映细微的差别。研究结果可为空间数据质量评价提供参考。In order to fully study the influence of spatial data uncertainty on spatial data quality evaluation and can really play a role in evaluation, interval valued intuitionistic fuzzy set IIFHA or IIFHG operator and a number of experts are adopted to process spatial data quality evaluation. The results show that: the evaluation results of interval valued intuitionistic fuzzy set IIFHA or IIFHG operator are consitent with the evaluation results of the weighted score function, but the interval valued intuitionistic fuzzy set IIFHA or IIFHG operator can consider not only importance of spatial data quality informations, but also three kinds of different data information which are affirmative,negative and uncertain,it can reflect the subtle difference compared with weighted score function method. The results of this study can provide reference for the spatial data quality evaluation.

关 键 词：区间直觉模糊集 空间数据 质量评价 不确定性 得分函数 

分 类 号：P208[天文地球—地图制图学与地理信息工程]