Skip to main content
Log in

Uncertain Logistic population model with Allee effect

  • Methodologies and Application
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

Any organism in nature will inevitably be affected by uncertain factors. The deterministic model and stochastic model are no longer suitable for population dynamics analysis under uncertain noise environment. In order to simulate these problems more reasonably, we propose an uncertain logistic population model with Allee effect, which describes the population dynamic behavior through uncertain differential equation. In this paper, the solution and \(\alpha\)-path of the uncertain Logistic population model with Allee effect are given, and the behavior analysis of the solution is also discussed. Besides, some numerical examples are put forward to illustrate the conclusions obtained in the paper.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Enquiries about data availability should be directed to the authors.

References

  • Allee WC (1931) Animal aggregations. University of Chicago Press, Chicago

    Google Scholar 

  • Dennis B, Assas L, Elaydi S, Kwessi E, Livadiotis G (2016) Allee effects and resilience in stochastic populations. Theor Ecol 9(3):323–335

    Article  MATH  Google Scholar 

  • Ji WM (2020) On a population model with Allee effects and environmental perturbations. J Appl Math Comput 64(1–2):749–764

    Article  MathSciNet  MATH  Google Scholar 

  • Ji WM, Zhang YQ, Liu M (2021) Dynamical bifurcation and explicit stationary density of a stochastic population model with Allee effects. Appl Math Lett 111(2021):106662

    Article  MathSciNet  MATH  Google Scholar 

  • Li SG, Peng J, Zhang B (2015) Multifactor uncertain differential equation. J Uncertain Anal Appl 3(7):1–19

    Google Scholar 

  • Liu B (2007) Uncertainty theory, 2nd edn. Springer, Berlin

    MATH  Google Scholar 

  • Liu B (2008) Fuzzy process, hybrid process and uncertain process. J Uncertain Syst 2(1):3–16

    Google Scholar 

  • Liu B (2009) Some research problems in uncertainty theory. J Uncertain Syst 3(1):3–10

    MathSciNet  Google Scholar 

  • Liu B (2010) Uncertainty theory: a branch of mathematics for modeling human uncertainty. Springer, Berlin

    Book  Google Scholar 

  • Liu YH, Ha MH (2010) Expected value of function of uncertain variables. J Uncertain Syst 4(3):181–186

    Google Scholar 

  • Sheng YH, Gao R, Zhang ZQ (2017) Uncertain population model with age-structure. J Intell Fuzzy Syst 33(2):853–858

    Article  Google Scholar 

  • Yang XF, Gao J (2013) Uncertain differential games with application to capitalism. J Uncertain Anal Appl 1(17):1–11

    Google Scholar 

  • Yang XF, Yao K (2017) Uncertain partial differential equation with application to heat conduction. Fuzzy Optim Decis Mak 16(3):379–403

    Article  MathSciNet  MATH  Google Scholar 

  • Yao K (2012) Uncertain calculus with renewal process. Fuzzy Optim Decis Mak 11(3):285–297

    Article  MathSciNet  MATH  Google Scholar 

  • Yao K (2013) Extreme value and integral of solution of uncertain differential equation. J Uncertain Anal Appl 1(2):1–21

    Google Scholar 

  • Yao K (2015) Uncertain differential equation with jumps. Soft Comput 19(7):2063–2069

    Article  MATH  Google Scholar 

  • Yao K (2016) Uncertain differential equation. Springer, Berlin

    Book  Google Scholar 

  • Yao K, Chen XW (2013) A numerical method of solving uncertain differential equations. J Intell Fuzzy Syst 25(3):825–832

    Article  MathSciNet  MATH  Google Scholar 

  • Yao K, Liu B (2020) Parameter estimation in uncertain differential equations. Fuzzy Optim Decis Mak 19(1):1–12

    Article  MathSciNet  MATH  Google Scholar 

  • Zhang ZQ, Yang XF (2018) Uncertain population model. Soft Comput 24(4):2417–2423

    Article  MATH  Google Scholar 

  • Zhu YG (2015) Uncertain fractional differential equations and an interest rate model. Math Method Appl Sci 38(15):3359–3368

    Article  MathSciNet  MATH  Google Scholar 

Download references

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

Authors

Contributions

CG proposed the model and derived the main result of the paper. ZZ helps to polish English and the structure of the paper. Baoliang Liu’s contribution is to present the example and the figures.

Corresponding author

Correspondence to Zhiqiang Zhang.

Ethics declarations

Conflict of interest

The authors declare that there is no conflict of interest regarding the publication of this paper.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, C., Zhang, Z. & Liu, B. Uncertain Logistic population model with Allee effect. Soft Comput 27, 11091–11098 (2023). https://doi.org/10.1007/s00500-023-08673-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-023-08673-0

Keywords

Navigation