基于云模型和关联度分析法的土地评价因素权重挖掘
Geomatics and Information Science of Wuhan University<2006.05>
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摘要: 采用云模型,将土地评价因素指标的自然语言描述映射为可细微变化的不同云滴,利用云不确定性推理,实现定性和定量的合理转换。在此基础上,结合关联度分析法,提出了一种新的土地评价影响因素权重获取方法,并给出了实验结果。Abstract: The veracity of land evaluation is tightly related to the reasonable weights of land estimate factors.By mapping qualitative linguistic words into a fine-changeable cloud drops and translating the uncertain factor conditions into quantitative values with the uncertain illation based on the cloud model,and then,integrating correlation analysis,a new way of figuring out the weight of land estimate factors is proposed.It may solve the limitations of the conventional ways.
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