英文摘要 |
In this study,we set out from the meaning of judgment matrix to point outthat its coefficients are perturbed measurement data of a preference structure, and then point out thatthe eigenvector methodfor judgment matrix analysis has sometheoretical weakness. In additions,theeigenvector method cannot take the ordering relations of priority weights, found in the practice or from the matrix, into consideration. On contrast, the methods based on statistical regressionnot only can take these ordering relations into consideration, also have nice properties in the decision theory. Therefore, analyzing the judgment matrix by using regressionis more proper. Moreover, since the judgment matrix is used to represent a preference structure, it can be replaced by a fuzzy relation. Using the cut sets of the associated fuzzy relation, we define the graphical consistency and the graphical consistency constraints of a judgment matrix, then we consider the solution method and theoretical properties of the goal programming method with the graphical consistency constraints, and compare thismethod with the most commonly used methods. |