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作 者:王洪利[1,2]
机构地区:[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710049
出 处:《计算机仿真》2013年第4期348-352,368,共6页Computer Simulation
基 金:国家自然科学基金"以约束为中心基于云模型的复杂系统量性融合仿真方法及应用"(71001082)
摘 要:针对系统定量仿真中存在的定性信息无法充分合理使用、定量信息和定性信息不能融合的问题,提出了一种基于云模型的定性仿真建模方法,并将其融入定量仿真之中。首先给出了基于云模型的变量空间描述,然后提出了基于云模型的融入定性信息的定量仿真方法。给出了包括定性与定量信息的融合运算、定性信息的持续与周期变化等在内的难点问题的解决方法。最后通过一个复杂供应链系统仿真实例验证了该方法的可行性。结果表明,改进方法具有客观的表达不确定性信息的特点,能将定性信息有效地融合到系统的定量仿真之中。ABSTRACT:As the absence of effective depictive expression of uncertain information which causes the insufficient usage of uncertain information, the representation of uncertain information and qualitative modeling method based on cloud model was proposed with digital simulation. Firstly, the variable space expression of uncertain information based on cloud model was given. Then, the method fused with qualitative information of improved quantitative simu- lation was studied based on cloud model. The principle of improved quantity simulation and process was given in this article including the key problems about the fusion calculation of qualitative and quantitative information, the lasting and cycle variation of qualitative information and so on. Lastly, the modeling method was applied to the case of mod- eling in the complex supply chain management system simulation to verify the feasible of method. The results verify that method proposed in this paper has the merit of objective expression of the uncertain information. And the fusion of qualitative and quantitative information can be used in complex system simulation.
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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