一种新的三角模糊数型层次分析法的排序方法

A New Priority Method of the Triangle Fuzzy Analytic Hierarchy Process

在层次分析法中,如何构造判断矩阵以及如何由判断矩阵导出被比较元素的相对排序权重是人们做决策时的一个关键环节.由于人类思维的复杂性及其模糊性,用模糊数来表示两元素的相对重要性更贴近实际,本文针对模糊数型的互补判断矩阵,提出了一种新的基于三角模糊数互补判断矩阵的排序方法.该方法计算量较小,易实现,且更贴近实际问题.

In the analytic hierarchy process, it is a key step how to establish judgment matrices and get priority vectors from it. But due to the complexity and fuzzy of human thinking, it is practical to express the ratio of correlative weight with fuzzy number. This paper presents a new priority algorithms based on the triangle fuzzy complementary judgment matrix. Its superiority lies in the smaller computation and easier implement. It is even more closer to the actual problem.