Recently explosion of e-commerce technologies is providing the platform for easier communication and collaboration among the entities in the supply chain from suppliers to buyer. The buyer always faces with several suppliers who provide similar services. Then, the buyers should make a decision from the solutions given by several suppliers, select the best supplier from the suppliers/buyer’s combinations, and accept his solutions and negotiation further. In general, successful solution of such services involves the simultaneous consideration of a number of possibly conflicting attributes including both quantitative factors such as cost, quantity and lead-time, and vague qualitative factors such as quality, reputation and performance history. In this thesis, we proposed two parts of describing different types of supply chain. Part A firstly use Analytic Hierarchy Process (AHP) matches product characteristics with supplier characteristics. Next, agents assist the user in the debate to negotiate a joint representation of the supplier chosen and automatically justify proposals with this joint representation. And a case study in a high-end computer manufacturing company is given to demonstrate the potential of the methodology. It is a bilateral multi-attribute negotiation scheme which sellers/buyer agents in internet-based through negotiations have significant on supplier selection and partners’ profit. In Part B, the one-to-many negotiation scheme we proposed negotiate not only quantitative attributes but also qualitative attributes employed fuzzy logic. We also use AHP to get an integrated network composed by suppliers, retailers and logistic providers. An example of haute couture is applied in negotiation mechanism and members selection used by AHP to demonstrate the agents how to negotiate and reach a integrated supply chain.