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Higher Reasoning with Level-2 Fuzzy Regions

机译:具有2级模糊区域的高级推理

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摘要

Spatial data is quite often is prone to uncertainty and imprecision. For this purpose, fuzzy regions have been developed: they basically consist of a fuzzy set over a two dimensional domain, allowing for both fuzzy regions and fuzzy points to be modelled. The model is extended to a level-2 fuzzy region to overcome some limitations, but this has an impact on operations. In this contribution, we will look into the construction of and combination of existing data to yield level-2 fuzzy regions.
机译:空间数据经常容易出现不确定性和不精确性。为此目的,已经开发出模糊区域:它们基本上由二维域上的模糊集组成,从而可以对模糊区域和模糊点进行建模。该模型被扩展到2级模糊区域以克服一些限制,但这对操作有影响。在此贡献中,我们将研究现有数据的构造和组合以产生2级模糊区域。

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