On discrete time Beverton-Holt population model with fuzzy environment

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...

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Published inMathematical biosciences and engineering : MBE Vol. 16; no. 3; pp. 1471 - 1488
Main Authors Zhang, Qian Hong, Lin, Fu Biao, Zhong, Xiao Ying
Format Journal Article
LanguageEnglish
Published United States AIMS Press 01.01.2019
Subjects
Algorithms
Animals
beverton-holt population model
boundedness
Computational Biology - methods
fuzzy discrete system
Fuzzy Logic
global asymptotic behavior
Models, Biological
persistence
Population Dynamics
Probability
Reproduction
fuzzy discrete system
persistence
Beverton-Holt population model
boundedness
global asymptotic behavior
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1547-1063
1551-0018
DOI:10.3934/mbe.2019071