摘要
将决策理论中的多属性决策用于评价地图要素的分级(分类)方法是否最优,并用信息论中的熵函数法确定各个评价分级精度指标的权重,建立了统计数据分级(分类)的综合评价模型。模型的建立,不仅提高了评价的客观性,而且是建立分级方法与适合这种分级方法的数据之间的关系基础。最后,用实例说明这种方法的具体应用及计算过程。
Multiple attributes decision making is applied to evaluate whether grading methods of thematic features is the best one.Then using entropy in information theory to ensure the relative weight of index for evaluating grading accuracy.Based on these theories,a model of synthetic evaluation in grading statistical data is built.And the model not only has improved the evaluation objectivity,but also is the foundation of establishing relation between grading model and the data which fit for the method.Finally,a numerical example is given to apply this model.
出处
《测绘与空间地理信息》
2007年第5期46-48,共3页
Geomatics & Spatial Information Technology
基金
国家自然科学基金项目(40374001)资助
关键词
数据分级
评价模型
决策
熵
客观权重
grading data
evaluation model
decision-making
entropy
objective weight
