Modeling, discretization, and hyperchaos detection of conformable derivative approach to a financial system with market confidence and ethics risk

Xin, Baogui; Peng, Wei; Kwon, Yekyung; Liu, Yanqin

doi:10.1186/s13662-019-2074-8

Cited by 27 publications

(51 citation statements)

References 82 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fourth, we can construct data-driven models of a discrete fractional-order game. At last, we can construct discrete fractional-order models in many scientific fields [29][30][31][32][33].…”

Section: Conclusion and Future Developmentsmentioning

confidence: 99%

A Bertrand Duopoly Game with Long-Memory Effects

et al. 2020

Self Cite

View full text Add to dashboard Cite

Reconsidering the Bertrand duopoly game based on the concept of long short-term memory, we construct a fractional-order Bertrand duopoly game by extending the integer-order game to its corresponding fractional-order form. We build such a Bertrand duopoly game, in which both players can make their decisions with long-memory effects. Then, we investigate its Nash equilibria, local stability, and numerical solutions. Using the bifurcation diagram, the phase portrait, time series, and the 0-1 test for chaos, we numerically validate these results and illustrate its complex phenomena, such as bifurcation and chaos.

show abstract

“…Fourth, we can construct data-driven models of a discrete fractional-order game. At last, we can construct discrete fractional-order models in many scientific fields [29][30][31][32][33].…”

Section: Conclusion and Future Developmentsmentioning

confidence: 99%

A Bertrand Duopoly Game with Long-Memory Effects

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Whenever the demand in a joint inventory management system is lower than the average demand in a market, the demand is lower than the average demand. Warehouses can redistribute items originally allocated to one market to another market [34,35]. The process of redistributing inventory in a decentralized management system is not feasible.…”

Section: Inventory Flow Chart Before and After Implementing Joint Invmentioning

confidence: 99%

Supply Chain Joint Inventory Management and Cost Optimization Based on Ant Colony Algorithm and Fuzzy Model

Hou

Xia

et al. 2019

Teh. vjesn.

View full text Add to dashboard Cite

With the advancement of the marketization process, inventory management has transformed from a single backup protection function to an essential function for enterprises, which helps to survive and develop. Inventory control in supply chain management is the important content of supply chain management. The new management mode makes inventory management present many new characteristics and problems compared with traditional inventory management. From the view of system theory and integration theory, it is imperative to reexamine the problem of inventory control, put forward new inventory management strategies adapted to integrated supply chain management, and improve the integration of the whole supply chain, which can enhance the agility and market response speed of enterprises. Based on the in-depth study of the joint inventory management model, this paper analyzed the current situation of the joint inventory management to optimize the inventory. In view of the achievements and shortcomings of the current research, a more systematic and improved optimization model of the supply chain inventory was proposed by using the basic ideas of ant colony algorithm and fuzzy model.

show abstract

“…While for γ > 1, MSD grows faster than linearly with time and it is called superdiffusion. Anomalous diffusion (both sub-and superdiffusion) occurs in the mathematics of numerous application fields that see recent developments as financial systems [1], transport of fluids in porous media [2], optical lattices [3] and in epidemiology [4][5][6]. There exist many methods for dealing with anomalous diffusion in different cases: in the presence or the absence of an external velocity or force field we can use methods such as continuous time random walk (CTRW) theory [7,8] which has become as a standard tool to model anomalous diffusion, i.e.…”

Section: Introductionmentioning

confidence: 99%

Fractional anisotropic diffusion equation in cylindrical brush model

Sharaf

El-Shewy

Zahran

2020

Journal of Taibah University for Science

View full text Add to dashboard Cite

In this work, we have suggested a neat method of obtaining the fractional diffusion equation for an anomalous anisotropic diffusion process using fractal brush structure as a background medium. For the sake of completeness, we intend to present an analytical solution in the case of the Dirichlet boundary condition. Finally, some notes and remarks are represented to show the vital role of a physical or biological system that exhibits a multiple trapping process.

show abstract

Modeling, discretization, and hyperchaos detection of conformable derivative approach to a financial system with market confidence and ethics risk

Cited by 27 publications

References 82 publications

A Bertrand Duopoly Game with Long-Memory Effects

A Bertrand Duopoly Game with Long-Memory Effects

Supply Chain Joint Inventory Management and Cost Optimization Based on Ant Colony Algorithm and Fuzzy Model

Fractional anisotropic diffusion equation in cylindrical brush model

Contact Info

Product

Resources

About