On discrete time Beverton-Holt population model with fuzzy environment.

Journal: Mathematical biosciences and engineering : MBE
PMID:

Abstract

In this work, dynamical behaviors of discrete time Beverton-Holt population model with fuzzy parameters are studied. It provides a flexible model to fit population data. For three different fuzzy parameters and fuzzy initial conditions, according to a generalization of division (g-division) of fuzzy number, it can represent dynamical behaviors including boundedness, global asymptotical stability and persistence of positive solution. Finally, two examples are given to demonstrate the effectiveness of the results obtained.

Authors

  • Qian Hong Zhang
    School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China.
  • Fu Biao Lin
    School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China.
  • Xiao Ying Zhong
    Library, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China.