由于交通安全问题的复杂性和交通安全测度者认识的不确定性,在实数型不确定交通安全测度过程中可能会给出不同形式的偏好信息.针对互反判断矩阵、模糊互补判断矩阵、残缺互补判断矩阵和混合判断矩阵4种测度对象偏好信息,分别采用特征向量法、最小方差法、残缺互补判断矩阵的线性方程组法和混合判断矩阵的线性目标规划法计算出相应的排序向量,然后采用WAA算子合成出每个交通安全测度对象的综合测度值,并排序.算例研究证明该方法的有效性和易操作性.%Due to the complexity of traffic safety and the uncertainty of traffic measurement, the different forms of preference information may be given in real uncertain traffic safety measure process. According to four kinds measuring object preference information of reciprocal judgment matrix, fuzzy complementary judgment matrix, incomplete complementary judgment matrix and hybrid judgment matrix, eigenvector method, least square method, incomplete matrix method and hybrid matrix linear goal programming method are used to calculate the corresponding sorting vector, then the integrated values of each traffic safety measure object are synthesized with WAA operator and sorted. The result of case study shows that the method is effective and easy to operate.
展开▼
