Relative Objective Functions in Multiobjective Decision Support Models*
研究了在多目标决策中，使用非支配最小值构建相对目标函数的重要性，指出其他最小值会误导决策者，并利用Zeleny的多准则单纯形法求解线性情况下的非支配最小值。
ABSTRACT This paper considers the importance of using the nondominated minimum in forming relative objective functions. Other minima can prevent the decision maker from reaching a preferred decision. They disturb the zero and distort the scale, thereby misguiding the decision maker by falsifying trade‐off possibilities. Worse, some of these other minima can inadvertently hide whole regions of preferred solutions. Zeleny's multiple criteria simplex method is used to find the nondominated minimum for the linear case.