Fractional Minmax Goal Programming: A Unified Approach to Priority Estimation and Preference Analysis in MCDM
提出一种带分数目标的极小化极大目标规划模型，并基于此开发了两种多准则决策方法：从成对比较矩阵推导优先级，以及通过比率尺度偏好信息评估加性价值函数。
A special minmax goal programming model with fractional goals is formulated and then used as the basis for developing two specific MCDM methods: (1) a method to derive priorities for decision elements from pairwise comparison matrices in the AHP framework; (2) a method to assess an additive value function by analysing some preference information expressed over the set of alternatives on a ratio scale. For both methods a common iterative solution procedure is proposed by using a linear programming formulation.