高维云模型及其在多属性评价中的应用

提出核空间高维云模型并将其应用于多属性评价问题.基于样本取值范围计算云模型的数字特征,生成云模型表达样本属性值与其属于期望值的隶属度之间的关系.在一维云模型的基础上,建立样本的多属性核空间高维云模型.对核空间内的样本,高维云模型的隶属度取值为1;基于样本在核空间高维云模型中的隶属度对样本进行多属性评价;应用核空间高维云模型,对地理信息系统内选定区域进行评价,选出适合作为观察所的位置,并对选取结果进行分类.该模型的多属性评价效果良好.

High Dimensional Cloud Model and Its Application in Multiple Attribute Evaluation

Core space multidimensional cloud model and its application in multiple attributes evaluation are introduced. Digital characteristics of the cloud model are calculated from the range of values in the sampling attributes. The relationship between the attribute values and the membership attribute value belonging to its expected value is described by the cloud model. Based on the 1-D cloud, core space multidimensional cloud model is built up. For these samples within the core space, their membership is unity. A sample is evaluated by its membership within the model. Designated area in GIS is evaluated by multi-dimensional cloud model, appropriate positions for an observation post are chosen and classified. Multiple attribute evaluations of the model resulted in the fine experimental results.