首页> 外文会议>Computational Science - ICCS 2007 pt.4; Lecture Notes in Computer Science; 4490 >A Pseudo-Boolean Optimization for Multiple Criteria Decision Making in Complex Systems
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A Pseudo-Boolean Optimization for Multiple Criteria Decision Making in Complex Systems

机译:复杂系统中多准则决策的伪布尔优化

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In complex system problems, a Decision Maker (DM) is often faced with choosing a subset of alternatives from a bigger set. This process is known as multiple criteria decision making (MCDM). Examples of MCDM include decision making in human resource management, water resource management, environmental management and site selection, energy policy issues, portfolio selection, transportation and routing selection, student admission. In general, there are several criteria that need to be satisfied; however, they are usually at least partly conflicting. In this study, we propose a pseudo-boolean approach for multiple criteria decision making on complex system problems. The computational results illustrate both robustness and attractiveness of this solution approach.
机译:在复杂的系统问题中,决策者(DM)经常面临从更大的集合中选择备选方案的子集的情况。此过程称为多标准决策(MCDM)。 MCDM的示例包括人力资源管理,水资源管理,环境管理和选址,能源政策问题,投资组合选择,运输和路线选择,学生入学方面的决策。通常,有几个条件需要满足。但是,它们通常至少部分冲突。在这项研究中,我们提出了一种针对复杂系统问题的多准则决策的伪布尔方法。计算结果说明了该解决方案方法的鲁棒性和吸引力。

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