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On discrete time Beverton-Holt  population model with fuzzy environment,
   Mathematical Biosciences and Engineering, 16(3): 1471¨C1488(2019).
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Ðľ²_ÒÀÈ»: LS-EPI+1, ¸ÐлӦÖú 2019-05-16 08:38:30
On discrete time Beverton-Holt population model with fuzzy environment.
×÷Õß:Zhang, Qian Hong; Lin, Fu Biao; Zhong, Xiao Ying

Mathematical biosciences and engineering : MBE

¾í:16 ÆÚ:3 Ò³:1471-1488
DOI:10.3934/mbe.2019071

³ö°æÄê: 2019-02-21

ÎÄÏ×ÀàÐÍ:Journal Article; Research Support, Non-U.S. Gov't

ÕªÒª
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.
¹Ø¼ü´Ê
¹Ø¼ü´ÊÁбí: Beverton-Holt population model ; boundedness ; fuzzy discrete system ; global asymptotic behavior ; persistence

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µØÖ·:School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China.
Library, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China.

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ÓïÑÔ:English

PubMed ID:30947429

NLM Ψһ ID:101197794

ÐÞ¶©ÈÕÆÚ: 09 Apr 2019

¹ú¼Ò/µØÇø: United States

ISSN:1551-0018

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