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GM(1,N)和QSIM结合的复杂系统的定性仿真建模方法
引用本文:王洪利,.GM(1,N)和QSIM结合的复杂系统的定性仿真建模方法[J].智能系统学报,2013,8(4):367-371.
作者姓名:王洪利  
作者单位:1.中原工学院 经济管理学院,河南 郑州 450000;2.西安交通大学 管理学院,陕西 西安 710009
摘    要:针对复杂系统仿真中系统信息缺乏、QSIM建模方法可使用微分方程的特点,在复杂系统仿真方法中,提出了一种GM(1,N)和QSIM相结合的定性建模方法.首先给出了相关研究的现状,然后提出了GM(1,N)和QSIM相结合的仿真建模方法的基本原理和主要过程.最后通过一个系统仿真建模实例验证了该方法的可行性.结果表明,该方法具有充分利用系统较少信息,能将定量和定性信息有效地融合与复杂系统的仿真建模之中的特点.

关 键 词:复杂系统  定性建模  以约束为中心  GM(1  N)

Qualitative modeling and simulation of complex system based on the combination of GM (1, N) and QSIM
WANG Hongli ,.Qualitative modeling and simulation of complex system based on the combination of GM (1, N) and QSIM[J].CAAL Transactions on Intelligent Systems,2013,8(4):367-371.
Authors:WANG Hongli  
Affiliation:1.School of Economic and Management, Zhongyuan University of Technology,Zhengzhou 450000, China;2.School of Management, Xi’an Jiaotong University Xi’an 710009, China
Abstract:Aiming at the characteristics of complex system simulations, such as a lack of information, and the possibility of QSIM modeling method employing differential equations, a qualitative modeling method combining QSIM and GM (1, N) is proposed. First the realtive researches are reviewed. The variable space expression of uncertain information based on the cloud model is provided.Then the process and principles of combination of QSIM and GM (1, N) qualitative simulation are given. Lastly, the modeling method was applied to the case of modeling in the modeling and simulation of the complex system to verify the feasibility of the method. The results show that this method has full use of fewer system information. Both quantitative and qualitative information can effectively be integrated into modeling and simulation of complex systems.
Keywords:complex system  qualitative modeling  QSIM  GM(1  N)
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