基于事例和置信度的多因素重要性排序方法
Case-and Confidence-Level-Based Significance Ordering of Multiple Factors
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摘要: 在多因素中确定各因素的重要性排序是涉及多因素问题研究的一个重要环节.借助模糊聚类方法和粗 糙集理论中的重要性原理提出一个基于事例和模糊置信水平的确定多因素排序的客观方法.针对如何从客观 数据中提取各种因素的重要性作了详细的讨论,最后给出了一个该方法的应用实例.Abstract: The significance ordering is one of the most important taches in researches concerned with multiple factors. Based on fuzzy cluster theory and significance principle in rough set theory, an objective method is proposed to determine the significance ordering of multiple factors, which is based on cases and fuzzy confidence levels. The procedures to abstract the significance of a factor from objective information are discussed in detail. An example is presented to show the application of the proposed method.
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