Interactive Utility Assessment in Multicriteria Decision Analysis Using Implicit Trade-off Information
提出一种基于隐式权衡信息（类似STEM或目标规划中的响应）的交互式方法，用于评估决策者的效用函数，适用于准则较多（最多15个）的排序或剪枝问题，相比成对比较法对决策者要求更低。
This paper introduces a methodology for the assessment of a decision-maker's utility function, based on interactions requiring relatively easy responses of the implicit trade-off type, i.e. similar to responses required in STEM or goal programming methods. The estimation of the value-function model to represent preferences is useful in ranking or pruning elements of the decision space. Inputs required from the decision-maker are, however, less demanding than the pairwise comparisons (or similar preference statements) typically required by value-function models. The methodology thus appears to be appropriate for relatively large numbers of criteria. An algorithm for implementing the proposed methodology for finite action spaces is developed and applied to examples involving up to 15 criteria.