基于粗交流的信号传递模型——试论粗集理论对信号传递模型中后验概率假设的补充

诺贝尔经济学奖获得者迈克尔·斯宾塞提出的信号传递模型指出,非对称信息会导致帕累托最优的交易不能实现,并证明了交易双方可以通过传递信号避免这一情况的发生。但是,如果交易双方的信息结构不同,他们之间会因为信号传递信息的不精确而产生交流粗糙性,影响市场交易效率。因此,将粗集理论引入到信号传递模型中,重点研究是否可以利用粗集理论中的相关计算方法得出最大程度逼近＂不可见信息＂的信号集,从而建立基于粗交流的信号传递模型,可以提供一个处理多维信号传递的全新研究视角。

Rough Communication in Signaling Game

Job Market Signaling put forward by Nobel Prize winner Michael Spence,suggests that separate equilibrium can be achieved when signaling exists between the sender and the receiver.However,due to different information structure,there is roughness of communication when the signal lacks accuracy and validity,a shortage that could reduce market efficiency.Therefore,the present writer introduces the rough set theory into signaling game and investigates in this paper if we can establish the core signal set which can approximate the invisible information to the utmost based on rough set theory to provide a new perspective in dealing with the multiple signaling.