Fuzzy model of Drosophila mediopunctata population dynamics

Castanho, M.J.P.; Mateus, Rogério Pincela; Hein, K.D.

doi:10.1016/j.ecolmodel.2014.04.025

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Once the propositions of the antecedent and consequent of the proposed model are fuzzy, an inference method can be used as proposed by Mamdani and Assilian [39], and according to Ross [40], this is the most common method cited in literature. For this, the air center or centroid method [40][41][42][43][44][45][46][47][48][49][50] was used with Equation ( 6):…”

Section: Inference Of the Fuzzy Methodsmentioning

confidence: 99%

Fuzzy Modeling Development for Lettuce Plants Irrigated with Magnetically Treated Water

Ferrari Putti,

Cremasco,

Neto

et al. 2023

Plants

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Due to the worldwide water supply crisis, sustainable strategies are required for a better use of this resource. The use of magnetic water has been shown to have potential for improving irrigation efficacy. However, a lack of modelling methods that correspond to the experimental results and minimize error is observed. This study aimed to estimate the replacement rates of magnetic water provided by irrigation for lettuce production using a mathematical model based on fuzzy logic and to compare multiple polynomial regression analysis and the fuzzy model. A greenhouse study was conducted with lettuce using two types of water, magnetic water (MW) and conventional water (CW), and five irrigation levels (25, 50, 75, 100 and 125%) of crop evapotranspiration. Plant samples for biometric lettuce were taken at 14, 21, 28 and 35 days after transplanting. The data were analyzed via multiple polynomial regression and fuzzy mathematical modeling, followed by an inference of the models and a comparison between the methods. The highest biometric values for lettuce were observed when irrigated with MW during the different phenological stage evaluated. The fuzzy model provided a more exact adjustment when compared to the multiple polynomial regressions.

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Section: Inference Of the Fuzzy Methodsmentioning

confidence: 99%

Fuzzy Modeling Development for Lettuce Plants Irrigated with Magnetically Treated Water

Ferrari Putti,

Cremasco,

Neto

et al. 2023

Plants

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“…However, several biology systems do not follow Allee effect in the habitats. Such as a p-fuzzy drosophila mediopunctata population system, depicted by Castanho M, which in South America Atlantic forest fragments(see 17 ), exhibits oscillations with return to equilibrium. These phenomena raised doubts that the positive association of density dependence may, but does not necessarily , give rise to a critical population size, below which the population cannot persist.…”

Section: Background and Motivationmentioning

confidence: 99%

Dynamic analysis of a fuzzy Bobwhite quail population model under g-division law

Ouyang,

Zhang,

Cai

et al. 2024

Sci Rep

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This paper is concerned with a kind of Bobwhite quail population model $$\begin{aligned} x_{n+1}=A+Bx_n+\frac{x_n}{x_{n-1}x_{n-2}},\ \ n=0,1,\cdots , \end{aligned}$$ x n + 1 = A + B x n + x n x n - 1 x n - 2 , n = 0 , 1 , ⋯ , where the parameters and initial values are positive parabolic fuzzy numbers. According to g-division of fuzzy sets and based on the symmetrical parabolic fuzzy numbers, the conditional stability of this model is proved. Besides the existence, boundedness and persistence of its unique positive fuzzy solution. When some fuzzy stability conditions are satisfied, the model evolution exhibits oscillations with return to a fixed fuzzy equilibrium no matter what the initial value is. This phenomena provided a vivid counterexample to Allee effect in density-dependent populations of organisms. As a supplement, two numerical examples with data-table are interspersed to illustrate the effectiveness. Our findings have been verified precise with collected northern bobwhite data in Texas, and will help to form some efficient density estimates for wildlife populations of universal applications.

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