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Using Rough Reducts to Analyze the Independency of Earthquake Precursory Items

机译:使用粗糙约简分析地震前兆项的独立性

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To find earthquake precursory items that are closely relative to earthquake is very important for earthquake prediction. Rough Set Theory is an important tool to process imprecise and ambiguous information. In this paper, the discernibility matrix approach based on Rough Set Theory is optimized to find all possible rough reducts with reduced time and space complexity. Furthermore, this approach is applied to analyze the dependency among earthquake precursory items. After several experiments, some most important precursory items are found, while some items are considered to be redundant. The results maybe provide the researches with the direction on the relationship between earthquake precursory items and earthquake.
机译:找到与地震密切相关的地震前兆项对于地震预测非常重要。粗糙集理论是处理不精确和模棱两可的信息的重要工具。在本文中,基于粗糙集理论的可分辨矩阵方法经过优化,可以找到所有可能的粗糙约简,同时减少了时间和空间复杂度。此外,该方法还用于分析地震先兆项之间的依赖性。经过几次实验,发现了一些最重要的先驱物,而有些则被认为是多余的。研究结果可能为地震先兆项与地震之间的关系提供研究方向。

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