【摘要】 多属性区间数排序及决策普遍存在于工程系统及社会经济系统之中,它是决策理论与方法研究的一个重要内容。以往的经济增长波动研究多局限于长周期经济增长波动研究,研究方法多采用统计学相关知识。本文将多属性区间数排序及灰关联度理论结合在一起,通过对基于GDP增长的多属性影响因素来构建多属性波动区间数,并采用灰关联度相关计算算法,应用于国民经济增长的短期波动质量监测,最后通过实证分析来证明这一方法在实践中的价值与意义。更多还原

【Abstract】 Sorting and decision-making of multi-attribute intervals are prevalent in engineering systems and socio-economic systems and are an important content of theory and method study of decision-making.The previous study of fluctuation of economic growth is limited to fluctuation of long-term economic growth and its research methods mainly use statistical knowledge.This article combines sorting of multi-attribute intervals with grey incidence theory together,builds multi-attribute intervals of fluctuations based on GDP growth,uses relevant calculation algorithms of grey incidence to monitor the short-term fluctuations quality of national economic growth,and,finally,uses the method in empirical analysis to verify the value and significance of the method in practice.更多还原