An Approach to Dynamic Model Combination on Solving Decision-Making Problem

摘要：

This paper discusses an approach to distributed parallel model combination for solving complicated decision-making problem. Firstly, we classify those existed models by model logic types, implement a model combination strategy to realize automatic combined model dynamic reconstruction and obtain the model series of decision-making problem solving by using and/or graph. Furthermore, during the process on model combination, we develop an index table based fast parameter matching algorithm to implement parameter match among those related models and also to apply blackboard dynamic storage technique so as to implement parameter transfer among related models. Finally, we concentrate our deep study on combined model dynamic reconstruction, fast parameter dynamic matching and transferring algorithm. Algorithm analysis listed in this paper shows that the fast parameter matching algorithm outperforms other translation methods.

作者: Wu Chao Xin Ming Jun Li Wei Hua

作者单位: College of Computer Science and Engineering, Northwestern Polytechnical University, Xian 710072, Ch College of Computer Science and Engineering, Shanghai University, Shanghai 200072, China

会议类型: 国际会议

会议名称: 2006 Asia-Pacific Services Computing Conference(IEEE亚太地区服务计算会议)

会议地点: 广州

会议语种:英文

页码: 629-634

在线出版日期: 2006-12-12（万方平台首次上网日期，不代表论文的发表时间）