互反判断矩阵的最小Theil不等系数排序方法

A least Theil coefficient method for priority of reciprocal judgment matrices

相关性的研究已经广泛应用于预测与决策的各个领域之中.利用互反判断矩阵的性质,从相关性的角度提出了互反判断矩阵排序的T he il不等系数新方法,研究了该方法下一些重要性质.算例分析表明该方法是有效可行的.

The research on correlation has been broadly applied in forecast and decision fields. Using the properties of reciprocal judgment matrix. A Theil coefficient method for priority of reciprocal judgment matrices which is based on the point of correlation is proposed, and some important properties are studied. It is illustrated by a numerical example that Theil coefficient method is feasible and effective.