Decision Making under Fuzzy Preferences in Argumentation-Based Negotiation Support System

It is one of the most important functions for negotiation support system(NSS) to assist negotiators generating system solutions according to negotiators' preferences. However, negotiators' preferences will change and construct during the process of negotiation. In order to make an agreement, negotiator has to express the viewpoints to the opponent in the process of negotiation. Currently, NSS doesn't permit to exchange negotiators' viewpoints by language agent can understand. In addition, in argumentation-based negotiation(ABN), it exchanges argumentations, which are able to be understood by agents, and generated by agent argumentative reasoning under a specified semantics of argumentation. Once lacking some logic reasoning, it is impossible to generate argumentations. However, the method of argumentation provides a new means to NSS. In argumentation-based negotiation support system(ABNSS), it also has to help negotiators generating system solutions, which include offers and argumentations. Under the circumstance of lacking logic reasoning, it is difficult for ABNSS to generate offers and argumentations. In order to deal with these problems, a strategy is proposed to assist in decision making in ABNSS under the circumstance of fuzzy negotiator preferences.