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A STUDY OF TWO SPECIES MODEL WITH HOLLING TYPE RESPONSE FUNCTION USING TRIANGULAR FUZZY NUMBERS

  • P. VINOTHINI (Department of Mathematics, Vellore Institute of Technology) ;
  • K. KAVITHA (Department of Mathematics, Vellore Institute of Technology)
  • Received : 2022.05.10
  • Accepted : 2023.05.04
  • Published : 2023.07.30

Abstract

In this paper, we developed three theoretical models based on prey and predator that exhibit holling-type response functions. In both a fuzzy and a crisp environment, we have provided a mathematical formulation for the prey predator concept. We used the signed distance method to defuzzify the triangular fuzzy numbers using the alpha-cut function. We can identify equilibrium points for all three theoretical models using the defuzzification technique. Utilizing a variational matrix, stability is also performed with the two species model through three theoretical models. Results are presented, followed by discussion. MATLAB software is used to provide numerical simulations.

Keywords

References

  1. Abayneh Fentie Bezabih, Geremew Kenassa Edessa, and Koya Purnachandra Rao, Ecoepidemiological Model and Analysis of Prey-Predator System, Journal of Applied Mathematics 2021 (2021), Article ID 6679686, 1-17. https://doi.org/10.1155/2021/6679686 
  2. Aleksandra Luczak and Slawomir Kalinowski, Fuzzy Clustering Methods to Identify the Epidemiological Situation and Its Changes in European Countries during COVID-19, Entropy 24 (2022), 1-18. https://doi.org/10.3390/ e24010014 
  3. Assane Savadogo, Boureima Sangar'e & Hamidou Ouedraogo, A mathematical analysis of Hopf-bifurcation in a prey-predator model with nonlinear functional response, Advances in Difference Equations 275 (2021), 1-23. https://doi.org/10.1186/s13662-021-03437-2 
  4. S. Das, P. Mahato & Mahato, S.K. Disease control prey-predator model incorporating prey refuge under fuzzy uncertainty, Modeling Earth Systems and Environment 7 (2021), 2149-2166. https://doi.org/10.1007/s40808-020-00892-w 
  5. D. Didiharyono, S. Toaha, J. Kusuma, Kasbawati, Stability analysis of two predators and one prey population model with harvesting in fisheries management, IOP Conf. Series: Earth and Environmental Science 921 (2021), 1-9. doi:10.1088/1755-1315/921/1/012005 
  6. J.G. Dijkman, H.Van Haeringen, S.J. De Lange, Fuzzy Numbers, Journal of Mathematical Analysis and Applications 92 (1983), 301-341. https://doi.org/10.1016/0022247X(83)90253-6 
  7. Erika Diz-Pita and M. Victoria Otero-Espinar, Predator-Prey Models: A Review of Some Recent Advances, Mathematics 9 (2021), 1-35. DOI: 10.3390/math9151783 
  8. C.S. Holling, Some characteristics of simple types of predation and parasitism, The Canadian Entomologist 91 (1959), 385-398.  https://doi.org/10.4039/Ent91385-7
  9. P.K. Jha, S. Gowrai, Stability of Prey-Predator Model with Holling Type Response Function and Selective Harvesting, Journal of Applied and Computational Mathematics 6 (2017), 1-7. doi: 10.4172/2168-9679.1000358 
  10. Jing Shing Yao, Kweimei Wa, Ranking fuzzy numbers based on decomposition principle and signed distance, Fuzzy sets and Systems 116 (2000), 275-288. https://doi.org/10.1016/S0165-0114(98)00122-5 
  11. O. Kaleva, Fuzzy differential equations, Fuzzy Set Systems 24 (1987), 301-317. https://doi.org/10.1016/0165-0114(87)90029-7 
  12. J.N. Kapur, Mathematical Modeling in Biology and Medicines, Affiliated East West Press, 1981. 
  13. M.T. Mizukoshi, L.C. Barros, R.C. Bassanezi, Stability of fuzzy dynamic systems, International Journal: Uncertain Fuzziness Knowl Based Syst. 17 (2009), 69-84. https://doi.org/10.1142/S0218488509005747 
  14. Muhammad Abdy, Syafruddin Side, Suwardi Annas, Wahyuddin Nur & Wahidah Sanusi, An SIR epidemic model for COVID-19 spread with fuzzy parameter: the case of Indonesia, Advances in Difference Equations Article number: 105 (2021), 1-17. https://doi.org/10.1186/s13662-021-03263-6 
  15. J.D. Murray, Mathematical biology I. An Introduction 3rd edition, University of Oxford and University of Washington, 1989. 
  16. Neli Regina Siqueira Ortega, PaulonCesar Sallum, Eduardo Massad, Fuzzy Dynamical Systems in Epidemic Modelling, Kybernetes 29 (2000), 201-218. https://doi.org/10.1108/03684920010312768 
  17. D. Pal, G.S. Mahapatra, G.P. Samanta, Optimal Harvesting of Prey - Predator System with Interval Biological Parameters: A Biomedical Model, Math. BioScience 24 (2013), 181-187. doi: 10.1016/j.mbs.2012.11.007 
  18. D. Pal, G.S. Mahapatra, G.P. Samanta, Bifurcation Analysis of Predator-Prey model with time delay and harvesting efforts using interval parameter, International Journal of Dynamics and control 3 (2015), 199-209. https://doi.org/10.1007/s40435-014-0083-8 
  19. D. Pal, G.S. Mahapatra, G.P. Samanta, A Study of Bifurcation of Prey - Predator Model with time delay and harvesting using fuzzy parameters, Journal of Biological Systems 26 (2018), 339-372. https://doi.org/10.1142/S021833901850016X 
  20. Saad Al-Momen, Raid Kamil Naji, The Dynamics of Modified Leslie-Gower Predator-Prey Model Under the Influence of Nonlinear Harvesting and Fear Effect, Iraqi Journal of Science 63 (2022), 259-282. DOI: 10.24996/ijs.2022.63.1.27 
  21. Subhashis Das, Sanat Kumar Mahato and Prasenjit Mahato, Biological control of infection pervasive via pest: a study of prey-predator model incorporating prey refuge under fuzzy impreciseness, International Journal of Modelling and Simulation 22 (2021), 628-652. doi:10.1080/02286203.2021.1964060 
  22. Soumya Das, Suvankar Biswas, Ritwick Banerjee and Pritha Das, Role of fear factor in a two-prey one-predator model: comparison between crisp and fuzzy environment, International Journal of General Systems 50 (2021), 815-847. https://doi.org/10.1080/03081079.2021.1985486 
  23. Suxia Zhang, Fei Li and Xiaxia Xu, Dynamics and control strategy for a delayed viral infection model, Journal of Biological dynamics 16 (2022), 44-63. https://doi.org/10.1080/17513758.2022.2028024 
  24. S. Tudu, N. Mondal, S. Alam, Dynamics of the logistic prey predator model in crisp and fuzzy environment, Mathematical Analysis and Applications in Modelling, Springer Proceedings in Mathematics and Statistics, 302 (2000). https://doi.org/10.1007/978-981-15-0422-837 
  25. L.A. Zadeh, Fuzzy Sets, Information Control 8 (1965), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X