用模糊集方法实现管理系统仿真输入非参数化的研究

以模糊信息优化处理的观点，研究了信息扩散方式实现非参数输入的途径、方法和效果、本文用正态扩散方式处理知识样本，形成参数概率颁上模式，通过ＳＩＭＡＮ仿真语言，对某一高速公路的一部分收费系统进行了仿真研究，结果表明：当人们对系统掌握的资料不多时，新方法有较大的优越性；如有较多的资料，新方法的结果与传统方法一致。

NON-PARAMETER ESTIMATION OF MANAGEMENT SIMULATION INPUT BY FUZZY SETS METHOD

In the view of optimally processing fuzzy information. the author studied how to use themethod of information diffusion to achieve non-parameter input and to get better results. Using normal diffusion to process the knowledge samples for producing non-parameter probability distribution, and by the help of SIMAN simulation language. the authsor simulates asystem of six toll booths. The simulation results show that when the samples are not somany. new method is better than classical method. If there are a lot of samples. the bothmethods lead to a same simulation result.