Abstract
This paper presents a knowledge representation "GCS Ternary" method for the model of Capacitated Vehicle Routing Problems (CVRP) on the basis of knowledge representation theories in Artificial Intelligence (AI) and Knowledge Engineering (KE). This representation has so high flexibility that it can be extendedly used to decision support systems (DSS) for many variants of VRP. The work of this paper enriches the theory of model representation in DSS. It decreases the deficiencies of model representation in DSS and reduces complexities existing in the process of solving VRP in logistics distribution systems of E-commerce, which sets foundations for real-time scheduling and routing.