Predicting the Negotiation Opponent’s Preferences in e-Commerce

• Main Authors: Ya-Ching Yang, 楊雅卿
• Other Authors: 張昭憲
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/13919817907023489306

碩士 === 淡江大學 === 資訊管理學系碩士班 === 94 === The thesis intends to develop effective methods to accurately predicts the opponent’s preferences for negotiation in e-commerce. First, the negotiation behavior of opponent is quantified by combining the scoring additive model and Faratin’s strategy model. According to the combined model, the problems of predicting the opponent’s preferences can be defined concisely. Then, we develop a prediction method based on genetic algorithm to compromise effectiveness and accuracy. Because the quality of solutions can be controlled by the number of evolution generations, users can easily adjust their goal according to the time limit. Moreover, the restriction on the number of issues, the coefficients of negotiation tactics and utility functions in previous works can be greatly relaxed by the proposed method. The experimental results reveal that our method can predict the opponent’s preference correctly. Besides, the results also show that adopting the prediction method can bring considerable profit. According to the statistics of experiment results, the predicting side can increase 15.3% utility when the offer zone of each issue is fully-overlapped; and the utility increase 14.3% when the offer zone of each issue is 80%-overlapped. In particular, although the utility of the predicting side is increased, the opponent’s profit doesn’t decrease for this reason. This result demonstrate that the predicting side can dominant the negotiation, meanwhile, maintain a win-win settlement.