基于多分类器融合的供应链伙伴动态选择方法

通过将备选企业的属性看作分类器,将伙伴选择问题转化为不完全、不确定性信息下的分类识别问题.应用多分类器融合规则,建立了供应链伙伴选择的决策模型和方法.该方法不但有效解决了决策信息的不完全性、不确定性和主观性问题,而且有效解决了供应链伙伴的动态选择问题.实例分析结果表明,该方法在供应链伙伴选择和动态选择中具有可行性、有效性和优越性.

Dynamic partner selection in supply chain based on multiple classifier fusion

Attributes of each candidate enterprise could be regarded as a classifier, and the partner selection could be transformed into a classification issue with incomplete and uncertain information. A decision-making model and a numerical approach of partner selection were proposed based on multiple classifier fusion rules. The new method could not only effectively resolve decision-making problem with incomplete, uncertain and subjective information, but also resolve the problem of dynamic partner selection. Case study showed that the new method was feasible, practical and superior.