关联字母矩阵基模算法在水污染中的应用
Application of relation letters matrix archetypes algorithm in water pollution
刘静华 1李丹 2王展宏2
作者信息
- 1. 南昌大学 管理学院，江西 南昌 330031; 南昌大学 经济发展升级推进长江经济带建设协同创新中心，江西 南昌 330031
- 2. 南昌大学 管理学院，江西 南昌 330031
- 折叠
摘要
系统反馈基模分析是系统动力学中把握系统结构，揭示系统产生涌现性原因的一种重要工具。目前针对系统反馈基模分析的方法有流率基本入树法和向量生成法等等。为了更好地从系统反馈基模分析得到有效的管理对策并更快地从极小基模生成复杂系统问题，提出一个确定复杂系统的基模生成集并对新管理措施进行反馈绩效分析的关联字母矩阵算法。该算法是将系统动力学的因果关系图转化为关联字母矩阵，以此计算反馈环将更为简单、直观。最后，用一个管理案例阐明了该算法的实际价值：运用此方法对我国现今亟需解决的水污染环境问题进行深度剖析，并根据所得到的系统基模提出了一些管理建议和对策。
Abstract
System feedback archetypes analysis is an important method to learn system construction and re-veal why emergent properties arise.Now rate variable in tree model and vectors generation archetypes are considered as new ways of achieving this.To find the effective management policy by feedback archetypes analysis and the minimum archetypes generating problem of a complex system,a new way was proposed in this study.The Letters matrix analysis of archetypes could deal with some certain generating set of arche-types of complex systems,as well as the feedback performance analysis of new management.This algo-rithm could translate system dynamic causality diagram into relation letters matrix,which was simpler and more intuitive to calculate feedback loops.Then,the real value of the algorithm was by a management case-an urgent environmental problems,Chinese water pollution.By deeply analysis of the water pollution and then according to the base model of the system,management suggestions and countermeasures are raised.
关键词
系统动力学/基模/关联字母矩阵算法/水污染/计算方法Key words
system dynamics/archetype model/letters matrix archetypes algorithm/water pollution/cal-culation method引用本文复制引用
基金项目
国家自然科学基金资助项目(71161017)
江西省十二五重点学科基金资助项目()
南昌大学研究生创新基金(CX2015035)
江西发展升级推进长江经济带协同创新中心(Y1511)
出版年
2016
NETL
NSTL
维普
万方数据