importance weighting meaning in Chinese
按重要性大小加权
非等量加权
Examples
- Abstract : an integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems , where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix . an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed . two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem . the simple additive weighting method is utilized to aggregate the decision information , and then all the alternatives are ranked . finally , a numerical example is given to show the feasibility and effectiveness of the method . the result shows that it is easier than other methods of integrating subjective and objective information
文摘:研究了结合主观和客观信息的模糊多属性决策问题,其中主客观信息分别由属性权重的两两比较矩阵和决策矩阵组成.提出一种结合主观和客观信息的特征向量决策方法,给出了2种求解基于主客观特征向量法的模糊多属性决策方法.这种方法通过求解2个线性目标规划模型得到最优属性权重,然后,通过对决策信息进行简单的加权集结,得到所有方案的排序结果.最后,通过一个算例说明了该方法的实用性和有效性.结果表明,该方法要比其他主客观结合多属性决策方法简单 - In order to measure the contribution of the index in distinguishing the sample classification , this paper defined the concept of index ' s categorization weight , point out the difference in such aspects as concept , properties , determining method , and application between the categorization weight and the importance weight of the index
摘要为了度量指标对区分样本类别所作贡献的大小，本文定义了指标分类权重的概念，论述了指标分类权重与指标重要性权重在概念、性质、确定方法及用途等方面的区别。 - An integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems , where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix . an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed . two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem . the simple additive weighting method is utilized to aggregate the decision information , and then all the alternatives are ranked . finally , a numerical example is given to show the feasibility and effectiveness of the method . the result shows that it is easier than other methods of integrating subjective and objective information
研究了结合主观和客观信息的模糊多属性决策问题,其中主客观信息分别由属性权重的两两比较矩阵和决策矩阵组成.提出一种结合主观和客观信息的特征向量决策方法,给出了2种求解基于主客观特征向量法的模糊多属性决策方法.这种方法通过求解2个线性目标规划模型得到最优属性权重,然后,通过对决策信息进行简单的加权集结,得到所有方案的排序结果.最后,通过一个算例说明了该方法的实用性和有效性.结果表明,该方法要比其他主客观结合多属性决策方法简单