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Fuzzy evidential influence diagram and its evaluation algorithm

机译:模糊证据影响图及其评估算法

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摘要

Fuzzy influence diagrams (FIDs) are graphical models that combine qualitative and quantitative analyses to solve decision-making problems though some shortcomings that need to be corrected still remain. One is to guarantee the exactness as node evaluation in high-complexity influence diagrams (IDs) need to be combined with a number of expert evaluations. However, traditional FIDs can only process a single expert's evaluation. The other is that they use incomprehensive evaluation criteria to score nodes in complex systems with many different relationships receiving the same score, which does not reflect their differences.
机译:模糊影响图(FID)是图形化模型,结合了定性和定量分析以解决决策问题,尽管仍然存在一些需要纠正的缺陷。一种是保证准确性,因为高复杂度影响图(ID)中的节点评估需要与许多专家评估结合起来。但是,传统的FID只能处理单个专家的评估。另一个是,他们使用不全面的评估标准来对复杂系统中的节点进行评分,这些节点具有许多不同的关系,并且获得相同的评分,这不能反映出它们的差异。

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