The research into crisis early warning of supply chain quality based on Rough Set&Feature Weighted Support Vector Machine

A RS-FWSVM model is presented by means of combining RS (Rough Set) with FWSVM (Feature Weighted Support Vector Machine) theory. Application process of this model to the crisis early warning of SCQ is researched, which can help enable chain enterprises to identify crises in the process of operations and to predict possible crises.