摘要
针对如何评价煤炭的优劣这一问题,以神华销售集团神东自产煤种煤质指标数据为研究对象,运用TOPSIS和AHP和两种方法相结合,通过构造相对偏差矩阵确定指标权重,给出了各种煤炭的综合排序。构造偏差矩阵确定指标权值不仅有效消除了量纲,降低了主观赋权的随意性,使各项指标具有可比性,同时由于在理性方案基础上构建,使之实现了最优。在数据的规范化和标准化方面提出了改进方案,给出了区间属性数据的运算方法,提高了模型的应用范围。
Aimed at the question of how to evaluate the coal quality, east god produced sales at shenhua group coal coal quality index data as the research object, using TOPSIS and AHP and combined two methods, through constructing the relative deviation matrix to de- termine the index weight, and gives the comprehensive sequencing of various kinds of coal. Structure deviation matrix to determine index weight not only effectively eliminate the dimensional, reduced the subjective arbitrariness of empowerment, the indicators are compara- ble, because on the basis of rational scheme to build at the same time, to achieve the optimal. In the standard and normalization of data put forward the improvement plan, gives the computing method of interval attribute data, improving the application range of the model.
出处
《煤》
2015年第12期7-9,16,共4页
Coal
