基于TOPSIS算法的双边多议题智能协商

摘要

The negotiation problem of bilateral multi-issues with incomplete information is addressed in this paper. Aiming at the maximization of joint utility of the two sides, based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method, an intelligent negotiation model is developed for the problem. By this model, in the process of negotiation, one side can make compromise according to certain rules. With this model, by using TOPSIS method, one side finds best solution for the other side, while it ensuring the utility for itself. Thus, the utility of both sides is maximized. An example is used to validate the proposed method. This is done by numerical simulation to check the gap of the joint utility under complete and incomplete information environment.%由于协商信息的不完备性以及为了协商双方的联合效用最大,提出了一种基于TOPSIS算法的双边多议题智能协商模型.在协商过程中依据一定的规则进行妥协让步.在保证自身效用的前提下,利用TOPSIS算法搜索出最优的提议发送给对方,从而最大化双方效用.通过算例模拟了该方法并比较了在完备信息与不完备信息两种情形下联合效用的差距,据此验证本方法的有效性.