中文摘要：

为解决现有分层决策方法无法反映决策者真实风险态度、难以保证学习与协调效率或效果的问题,构建了决策信息双平台提取模式和双平台学习协调结构,在此基础上提出了决策信息单平台学习修正模型、基元前景价值双平台系统协调模型以及双平台学习协调分析方法。该新模型方法不仅能够就上下两层在知识结构上的分布性认知优势应用学习修正定理有效地消除两层决策者在单平台上的认知偏差,而且还能系统协调双平台上差异性的决策信息,从而保证所做出的是科学有效决策。基于蒙特卡洛模拟的验证结果表明,新模型方法具有科学有效性和实际应用可行性。

英文摘要：

There are two drawbacks in current decision making approaches,i.e.,the real risk attitudes of decision makers are rarely reflected,and the efficiency or the effectiveness of coordination and learning are difficult to ensure in current approaches.To overcome above drawbacks,a double platform mode for deriving decision information and a structure for learning and coordination between double platforms are established.After that,single platform model for learning and revising decision information,double platform systematic model for coordinating basic prospect values and double platform learning and coordination analysis method are proposed.The proposed new model and method can not only employ value platform and risk platform to derive the decision information efficiently in allusion to two levels＇ distributing knowledge structure,but also coordinate diversity decision making information,and thus to make decision scientifically and effectively.A Monte Carlo simulation case shows the new model and method are scientific,reasonable and well applicable.