High Dimensional Cloud Model and Its Application in Multiple Attribute Evaluation
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Abstract
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.
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