The geometric distance priority of the Fuzzy judgment matrix
LU Yue-jin · Journal of Guangzhou University · 2005
In this paper, a new method for prioritizing the Fuzzy judgment matrix which is based on the idea of optimization and the distance from the point to the flat surface is presented. The desired priority vector that could be obtained from the given counting formula can be derived from the original Fuzzy judgment matrix directly. This paper also points out the shortcomings of several frequent prioritizing methods for Fuzzy complementary judgment matrix. The obtained weight for raking alternatives fall into the normal range, thus the method is more rational and practical. Finally, a practical example is given to illustrate its feasibility.