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The untraditional emergency disasters like high degree earthquake always break out with uncertainty and severity. It is difficult to select a best alternative from many emergency response plans when some emergency catastrophe takes place suddenly. To support the capability of decision-making, we build up a set of systematic framework to simulate and evaluate the response plans for the untraditional...
Most real-world datasets have outliers. Outliers can imply abnormal states that often indicate significant performance degradation or danger in certain circumstances. Therefore, the outlier detection plays an important role in the field of data mining. This paper proposes a hybrid distance-based outlier detection approach. It uses the average distance as neighborhood distance, and records the number...
It is a right way to improve the credibility of evaluation results of the weapon equipment operational effectiveness (WEOE) by means of correcting and fusing the data from many viewpoints. At the stage of the equipment demonstration, the data of evaluation mainly come from expert belief and simulation results, but these data can not be directly used to evaluate the WEOE because these two kinds of...
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