Integrating Context-Aware and Fuzzy Rule to Data Mining Model for Supply Chain Finance Cooperative Systems

This paper proposes a context aware and fuzzy rule data mining model for enterprise supply chain finance cooperative system that interacts with bank, buyer and supplier. It consists of three main components. The first component is the model for enterprise supply chain finance cooperative systems with cooperative agents serving as the simulation representatives of bank, buyer and supplier communicating with each other over the company´s network. In the second component, context aware and fuzzy rule data mining model is proposed based on the simulation model for the enterprise supply chain finance cooperative systems. The third component is a simulation system which has been designed and implemented for the context aware and fuzzy rule data mining methodology.