[1]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.[doi:10.3969/j.issn.1673-4785.201210001]
WANG Hongli.Qualitative modeling and simulation of complex system based on the combination of GM (1, N) and QSIM[J].CAAI Transactions on Intelligent Systems,2013,8(4):367-371.[doi:10.3969/j.issn.1673-4785.201210001]
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WANG Hongli.Qualitative modeling and simulation of complex system based on the combination of GM (1, N) and QSIM[J].CAAI Transactions on Intelligent Systems,2013,8(4):367-371.[doi:10.3969/j.issn.1673-4785.201210001]
GM（1，N）和QSIM结合的复杂系统的定性仿真建模方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
8
期数:
2013年第4期
页码:
367-371
栏目:
学术论文—智能系统
出版日期:
2013-08-25
- Title:
- Qualitative modeling and simulation of complex system based on the combination of GM (1, N) and QSIM
- 文章编号:
- 1673-4785(2013)04-0367-05
- Keywords:
- complex system; qualitative modeling; QSIM; GM（1; N）
- 分类号:
- TP18；N945.12
- 文献标志码:
- A
- 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.
- 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.
- 参考文献/References:
-
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备注/Memo
收稿日期：2012-10-01. 网络出版日期：2013-06-03.
基金项目：国家自然科学基金资助项目（71001082）；河南省软科学研究计划资助项目（122400440143）.
通信作者：王洪利. Email: graduated852@163.com.
作者简介：王洪利，男，1978年生，副教授，博士后，主要研究方向为管理复杂系统的建模与仿真、决策支持系统等，主持在研国家自然科学基金1项、省重点科技攻关项目1项.发表学术论文45篇，其中被Ei检索20篇.
更新日期/Last Update:
2013-09-27