[1]LI Wenjun,YANG Chunyan.Research on a correlative network of matter-elements based on a system dynamics model[J].CAAI Transactions on Intelligent Systems,2017,12(4):459-467.[doi:10.11992/tis.201610013]
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Research on a correlative network of matter-elements based on a system dynamics model

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 4 Page number: 459-467 Column: 学术论文—智能系统 Public date: 2017-08-25
Title:
Research on a correlative network of matter-elements based on a system dynamics model
Author(s):
LI Wenjun1; 2;  YANG Chunyan1; 2
1. Research Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou 510006, China;
2. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Keywords:
Extenics; matter-element; correlative analysis; correlative network; system dynamics; simulation; correlation functions; modeling
CLC:
TP18
DOI:
10.11992/tis.201610013
Abstract:
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.
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