Research on Multi-system Coupling System Dynamics Model Simulation Combining with Fuzzy Theory

Author(s):  
Huaqi Wang ◽  
Zengchuan Dong ◽  
Zhao Wu
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaojuan Zhang ◽  
Yongheng Zhang ◽  
Feng Zhang ◽  
Xiuyun Yang

The demand of embedded artificial intelligence system for powerful computing power and diversified application scenarios will inevitably bring some new problems. This paper builds the system dynamics model of embedded system based on artificial intelligence (AI). By analyzing the causal relationship between the elements of the system dynamics model, the state equation is established, and the parameters are estimated and tested. At the same time, the influence of the model simulation experiment on the relevant factors is evaluated. The simulation results show that the proposed model is effective and efficient.


2017 ◽  
Vol 16 (2) ◽  
pp. 156-169
Author(s):  
Teten W Avianto ◽  
◽  
Utomo Sarjono Putro ◽  
Pri Hermawan ◽  
◽  
...  

2013 ◽  
Vol 811 ◽  
pp. 710-715 ◽  
Author(s):  
Yong Tao Yu ◽  
Ying Ding ◽  
Yong Xin Yu

The fundamental basis of Navy operational command decision support system is efficient to make an objective assessment of the complex dynamic sea battlefield situation. According to the study proposes the sea battlefield situation based on a system dynamics model evaluate simulation. First sea battlefield situation system analysis; second system causality analysis, to establish a causal loop diagram; again is based on the sea battlefield situation to assess the relationship between flow diagram, build SD simulation model; enter the initial parameter; finally, based on the events of the battlefield to enter the initial parameter, assessment simulation sea battlefield situation, analysis simulation conclusion, put forward suggestions.


2010 ◽  
Vol 20 (2) ◽  
pp. 59-62
Author(s):  
Patrick Einzinger ◽  
Günther Zauner ◽  
G. Ganjeizadeh-Rouhani

Systems ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 56
Author(s):  
Urmila Basu Mallick ◽  
Marja H. Bakermans ◽  
Khalid Saeed

Using Indian free-ranging dogs (FRD) as a case study, we propose a novel intervention of social integration alongside previously proposed methods for dealing with FRD populations. Our study subsumes population dynamics, funding avenues, and innovative strategies to maintain FRD welfare and provide societal benefits. We develop a comprehensive system dynamics model, featuring identifiable parameters customizable for any management context and imperative for successfully planning a widescale FRD population intervention. We examine policy resistance and simulate conventional interventions alongside the proposed social integration effort to compare monetary and social rewards, as well as costs and unintended consequences. For challenging socioeconomic ecological contexts, policy resistance is best overcome by shifting priority strategically between social integration and conventional techniques. The results suggest that social integration can financially support a long-term FRD intervention, while transforming a “pest” population into a resource for animal-assisted health interventions, law enforcement, and conservation efforts.


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