Research on risk ranking of participants involved in supply chain network: Applications of a NLP method based on multiplicative and fuzzy preference relations

This article focuses on the issue of participant selection in supply networks risk management. Though there are many ways and applications which are introduced to selection participant in viewpoint of risk management, the practical effect of these methods is not considerable full and satisfactory. In this paper, we introduce a non-linear programming(NLP) method based on multiplicative and fuzzy preference relations to rank the candidates of probable participants in supply networks in viewpoint of risk management. The sound performance of discrimination power, the convience of applications and the relatively accuracy of perception expressions make this method of ranking suitable to participants selection in supply networks risk management. Numberial example and demonstration are present at last.