On the use of fuzzy logic to enhance mobile agents in distributed e-commerce

In recent years, the sales of products throughout the Internet have increased significantly. However, experiences with client/server architectures applied to developing e-commerce systems have shown some limitations related to system's needs, such as product choosing process, pricing process, and decision making while negotiating the price. These limitations might have profound impact on regular customers interested in purchasing the products. This paper presents two approaches on how one can use both fuzzy logic and agent-based technologies to solve these issues. Throughout this logic we have an acceptable intelligence level of agents in these systems. This paper proposes a new approach to solve data integrity in the workflow of distributed e-commerce systems using intelligent mobile agents through the fuzzy logic concept. Our main contributions rely on our new model that is based upon the aggregation of ERP to B2B and B2C. To the best of our knowledge, this is the first time such approach has been used. We discuss our preliminary experiments and show how our model can significantly increase the performance of e-commerce workflow using mobile agents, fuzzy logical and ERR.