A Fuzzy Multi-objective Decision-Making Method for Agent-based Negotiation
Zhou Fang · Journal of Xianning Teachers College · 2004
In the E-commerce world, the buyers always face with several sellers who provide similar services. Then, the buyers should make a decision from the solutions given by several sellers, select the best seller with the best solution, and accept his solution or negotiate further. Especially for the agent-based negotiation support system, it is very important that the buyer agent can use this method to select the most appropriate seller agent initiative from a mass of ones. To select right seller agent, the process method in this paper is: After the buyer agent summit the buyer's requirement to the broker agent, the broker collect all the seller agents which probably meet the buyer's requirement by bidding or search, and formalize their solutions. Then, based on the concepts of fuzzy set theory and TOPSIS, a fuzzy multi-objective decision-making approach is presented, in which the quantitative analysis and qualitative judgment are integrated. Finally, a numerical example is given.