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.