This paper proposes a new minimax geometricdistance priority method used for group-AHP (MGDM).
对群组判断矩阵提出一种新的最小最大几何距离排序方法(MGDM)。
2
Theoretical analyses and applications all show that the geometricdistance least square method is also a good and effective parameter estimation method.
理论分析和应用实例表明,几何距离最小二乘方法同样也是一种比较有效的参数估计方法。
3
We study the properties of harmonic means combination forecasting method based on minimizing geometricdistance to demonstrate the effectiveness of this method theoretically.