Methods Based on statistical data of Shaanxi Province from 1999 to 2004, the grey correlation degree analysis is used.
方法基于陕西省1999—2004年的统计数据，运用灰色系统理论中的相对关联度分析方法。
The results of comprehensive evaluation and grey correlation degree analysis were used for the fracturing well selection, and constructions parameters seeking was researched and optimized.
利用玛北油田综合评估结果结合灰色关联度分析，初步探讨了压裂选井选层，研究并优化了玛北油田压裂施工参数。
Conclusion Grey correlation degree can be found to provide scientific basis for management and decision making through this analysis.
结论通过关联分析可以找出变量之间的关联程度，为管理和决策提供依据。
Secondly, by taking the factor decision matrix to perform grey correlation analysis, the influence degree of factors is adjudicated.
再对各区构建影响因子决策矩阵进行灰色关联分析，判决各因子对滑坡稳定性的影响程度。
Comparative analysis and grey correlation degree were carried on soybean traits, the results were as follows: branch number and pods per plant have more important effect on yields.
通过对生育期、株高、分枝数、主茎节数、单株荚数、百粒重等性状的相关分析和灰色关联度分析，结果表明，分枝数、单株荚数是影响产量的关键因素。
This paper proposes to adopt correlation degree analysis method of grey system theory for choosing the optimal design plan.
本文应用灰色理论中灰关联分析法，对设计方案进行优选。
This paper proposes to adopt correlation degree analysis method of grey system theory for choosing the optimal design plan.
本文应用灰色理论中灰关联分析法，对设计方案进行优选。
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