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基于系统动力学模型的物元相关网研究 被引量:4

Research on a correlative network of matter-elements based on a system dynamics model
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摘要 在可拓学相关分析理论中,关键在于确定相关基元的函数关系。然而,在具体领域中运用的时候,相关函数的确定往往是比较困难的,也就局限了相关网方法的使用。文章以物元为研究对象,对物元的相关网进行了研究,提出了相关网的动力学模型建模方法以及一种在相关函数未知的情况下,基于系统动力学模型的物元相关函数近似构造方法。该方法的原理是通过基础数据的收集和分析,在依据相关网建立的动力学模型中按照固定的步骤进行模拟分析,得出物元的近似相关函数。在此基础上,相关分析的进行就变得简单、可模拟。案例分析的结果表明,该方法能够有效模拟和近似构造相关物元之间的函数关系,为相关网方法在具体领域中的运用奠定了一定的基础。 In the correlative analysis of Extenics, the key is to define the correlation function relating to the basic- elements. However, it is very difficult to define the correlation function when it is applied to specific areas and this limits the usage of the correlative network. In this paper, a correlation network based on matter-elements is studied. Then, we present a method for establishing a system dynamics model of the correlation network and a method for approximately identifying the correlation function based on the system dynamics model, in which the correlation functions under some related matter-elements are unknown. The principle of this method is to derive the approximate correlation functions of related matter-elements according to the principle of collecting and analyzing basic data, and establishing a kinetic model for simulation and analysis in terms of a fixed procedure in the correlative network. In this way, correlative analysis becomes easy and can be simulated. The clear conclusion is that the method efficiently simulates the correlation function and lays the foundation for the application of correlation analysis to specific areas.
作者 李文军 杨春燕 LI Wenjun YANG Chunyan(Research Institute of Extenics and Innovation Methods, Guangdong University of Technology, 2. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, Guangzhou 510006, China Chin)
出处 《智能系统学报》 CSCD 北大核心 2017年第4期459-467,共9页 CAAI Transactions on Intelligent Systems
基金 国家自然科学基金项目(61273306) 广东省科技计划项目(2016A040404015)
关键词 可拓学 物元 相关分析 相关网 系统动力学 仿真 相关函数 建模 Extenics matter-element correlative analysis correlative network system dynamics simulation correlation functions modeling
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