AccScience Publishing / IJOCTA / Online First / DOI: 10.36922/IJOCTA026120045
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RESEARCH ARTICLE

Optimal control of financial inclusion for women entrepreneurs with bifurcation, statistical and stochastic analysis

Muhammad Farman1,2,3* ,  Aqeel Ahmad1,4 ,  Usama Atta4,5 ,  Zubaria Parvez6 ,  Evren Hincal1,7 ,  Aseel Smerat8,9 ,  Mohamad Hafez10,11
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1 Department of Mathematics, Mathematics Research Center, Near East University, Mersin-10 , Turkey
2 Faculty of Medicine, Department of Biostatistics and Medical Informatics, Karadeniz Technical University, Trabzon , Turkey
3 Department of Software Engineering, Ankara Science University, Ankara , Turkey
4 Department of Mathematics, Ghazi University, Dera Ghazi Khan , Pakistan
5 International Center for Interdisciplinary Research in Sciences, The University of Lahore, Lahore , Pakistan
6 AI and Software Engineering Department, AI and IoT Research Center, AI and Informatics Faculty, Near East University, Mersin , Turkey
7 Research Center of Applied Mathematics, Khazar University, Baku , Azerbaijan
8 Faculty of Educational Sciences, Al-Ahliyya Amman University, Amman , Jordan
9 Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai , India
10 Faculty of Engineering and Quantity Surviving, INTI International University Colleges, Nilai , Malaysia
11 Faculty of Management, Shinawatra University, Pathum Thani , Thailand
Received: 19 March 2026 | Revised: 19 April 2026 | Accepted: 27 April 2026 | Published online: 2 November 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

In this paper, we develop a comprehensive mathematical model incorporating market linkages, sociocultural interventions, social capital, and access to finance to examine the dynamics of women entrepreneurs. We extend the deterministic model by incorporating the random variations present in socioeconomic systems, in addition to constructiing and analyzing a stochastic nonstandard finite difference (NSFD) scheme. The methodology overcomes significant limitations of traditional numerical approaches by ensuring the preservation of positivity and boundedness for all step sizes. We compute key thresholds at which the system undergoes qualitative behavioral changes by using eigenvalue analysis, one-dimensional parameter sweeps, and two-dimensional stability surfaces. The absence of flip bifurcation verifies that the behaviour of the system is bounded and that the system does not exhibit period-doubling instabilities. The stochastic and deterministic simulations highlight the dynamic behavior of the suggested model. The impact of parameters, illustrated through radial, tornado, chord, and heat-map diagrams, shows that maintenance programs that lower the depreciation rate through regulatory change should be combined with initiatives that improve investment rates through financial literacy and digital infrastructure. Statistical validation shows the superiority of the nonstandard finite difference scheme and the effectiveness of control measures compared with the no-control case. By formulating a stochastic optimal control problem, we compare four policy cases with the no-control case, and the results show that the combination of all controls produces the highest access to finance. The NSFD scheme preserves positivity for all step sizes, whereas Euler-Maruyama generates economically non-feasible negative results for large step sizes. The findings indicate that, to prevent irregular losses in entrepreneurial capacity, effective interventions should prioritize stabilizing social networks and controlling financial access during turbulent periods, which underscores the importance of stable policy environments and consistent financial support mechanisms. In women's entrepreneurial development programs, our study offers a strong foundation for policy modeling, uncertainty quantification, and evidence-based decision-making.

Graphical abstract
Keywords
Stochastic model
Social protection
Economic resources
Statistical analysis
Flip bifurcation
Euler-Maruyama
NSFD
Optimal control
Funding
None.
Conflict of interest
The authors declare that they have no conflict of interest with other people or organizations that could inappropriately influence or bias the content of the paper.
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An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing