Multiattribute preference analysis with performance targets
Multiattribute preference analysis with performance targets
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DOI：
10.1287/opre.1030.0093
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发表时间：
2004-11-01
影响因子：
2.7
通讯作者：
Kirkwood, CW
中科院分区：
文献类型：
--
作者：
Bordley, RF;Kirkwood, CW
本文开发了一种基于绩效目标的方法来评估不确定性下多目标决策的偏好函数。这种方法产生的偏好函数在策略上与传统的多属性效用函数等效，但面向目标的方法对于某些类别的决策来说更自然。在某些情况下，面向目标的偏好条件类似于系统中串联或并联故障模式的可靠性理论条件。在这种情况下，使用可靠性概念重新解释条件对于评估偏好函数很有用。面向目标的方法也是目标规划常见形式的概括。该方法特别适用于资源分配决策，其中决策的结果很大程度上取决于其他利益相关者对该决策的行动，例如新产品开发或在有争议的监管环境中做出决策。
This paper develops an approach based on performance targets to assess a preference function for a multiobjective decision under uncertainty. This approach yields preference functions that are strategically equivalent to conventional multiattribute utility functions, but the target-oriented approach is more natural for some classes of decisions. In some situations, the target-oriented preference conditions are analogous to reliability theory conditions for series or parallel failure modes in a system. In such cases, reinterpreting the conditions using reliability concepts can be useful in assessing the preference function. The target-oriented approach is also a generalization of common forms of goal programming. The approach has particular applicability for resource allocation decisions where the outcome of the decision is significantly determined by the actions of other stakeholders to the decision, such as new product development or decision making in a controversial regulated environment.