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Agent Modeling of User Preferences Based on Fuzzy Classified ANNs in Automated Negotiation |
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| Authors: | GU Tie-jun TANG Bing-yong MA Xi-jun LI Yi Glorious Sun School of Business Management Donghua University Shanghai China Institute of Computer Network System Hefei University of Technology Hefei China Information Security System Testing Lab The Third Research Institute of Ministry of Public Security Shanghai China |
| Affiliation: | GU Tie-jun 1,TANG Bing-yong 1,MA Xi-jun 2,LI Yi 3 1 Glorious Sun School of Business and Management,Donghua University,Shanghai 200051,China 2 Institute of Computer Network System,Hefei University of Technology,Hefei 230001,China 3 Information Security System Testing Lab,The Third Research Institute of Ministry of Public Security,Shanghai 200031,China |
| Abstract: | In agent-based automated negotiation research area,a key problem is how to make software agent more adaptable to represent user preferences or suggestions,so that agent can take further proposals that reflect user requirements to implement ecommerce activities like automated transactions.The difficulty lies in the uncertainty of user preferences that include uncertain description and contents,non-linear and dynamic variability.In this paper,fuzzy language was used to describe the uncertainty and combine wit... |
| Keywords: | agent automated negotiation user modeling artificial neural network(ANN) fuzzy classification |
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