In this paper, a new data reduction method-multi-attribute group decision-making is used to solve the dock forecasting.

本文提出了利用一种新型的数据缩减方法—多指标群决策解决股票预测问题的思路。

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This paper analyzes the organization structure for numerical forecasting data of the city air quality in space and in time, and constructs an overall frame for the multi-dimensional space data.

通过分析某城市空气质量数值预报数据的时空组织结构，构建出了多维空间数据的整体框架。

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