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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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zqianhong: ½ð±Ò+5, ¡ï¡ï¡ïºÜÓаïÖú 2019-05-13 13:28:11
Ðľ²_ÒÀÈ»: LS-EPI+1, ¸ÐлӦÖú 2019-05-16 08:38:30
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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 ×÷ÕßÐÅÏ¢ 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. ÎÄÏ×ÐÅÏ¢ ÓïÑÔ:English PubMed ID:30947429 NLM Ψһ ID:101197794 ÐÞ¶©ÈÕÆÚ: 09 Apr 2019 ¹ú¼Ò/µØÇø: United States ISSN:1551-0018 ÆäËûÐÅÏ¢ ״̬:In-Process |
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