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Decision making process via binary decision diagram

机译：通过二进制决策图进行决策过程

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摘要

Firms require to optimize any decisions taken for increasing their competitiveness. Each decision will depend of a large number of causes. The relations between the causes and the decisions are effected by the decision making process. An approach to finding the best solution to each logistical or organizational problem is to identify the main causes which are involved for the best decision. A qualitative and a quantitative analysis to facilitate the decision making process is carried out in this paper employing logical decision trees together with binary decision diagrams. This paper presents a novel comparison between different ranking methods applied to several case studies of logical decision trees. The ranking methods considered in this paper are 'Level', 'AND' and the topological heuristic methods Top-Down-Left-Right, Depth-First-Search and Breath-First-Search. Importance measures have been used for ranking the basic events of the logical decision trees according to their contribution to the top event in order to establish the main causes and, therefore, to determine the critical causes. The importance measures methods employed in this paper are: Fussell-Vesely, Birnbaum and criticality. Finally, an analysis of these importance measures is performed that is based on a comparative study of the different methods for setting the importance measures in order to determine the differences between them.
机译：企业需要优化为提高竞争力而做出的所有决策。每个决定将取决于大量原因。原因与决策之间的关系受决策过程影响。为每个后勤或组织问题找到最佳解决方案的方法是确定最佳决策所涉及的主要原因。本文采用逻辑决策树和二元决策图进行了定性和定量分析，以促进决策过程。本文提出了一种应用于逻辑决策树案例研究的不同排序方法之间的新颖比较。本文考虑的排序方法为“级别”，“与”和拓扑启发式方法，即“自上而下”，“从左至右”，“深度优先”和“呼吸优先”。重要性度量已用于根据逻辑决策树对基本事件的贡献对逻辑事件树的基本事件进行排名，以确定主要原因，从而确定关键原因。本文采用的重要度量方法是：Fussell-Vesely，Birnbaum和关键度。最后，在对不同的设置重要指标的方法进行比较研究的基础上，对这些重要指标进行了分析，以确定它们之间的差异。

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