Parameters Determination via Fuzzy Inference Systems for the Logistic Populations Growth Model

Parameters Determination via Fuzzy Inference Systems for the Logistic Populations Growth Model

This study addresses the fuzzy parameters (coefficient) determination for the logistic population growth model, proposing a novel methodology based on fuzzy logic concepts. Population dynamics are often modeled using differential equations whose parameters represent critical ecological information,...

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Bibliographic Details
Main Authors: Yuney Gorrin-Ortega, Selene Lilette Cardenas-Maciel, Jorge Antonio Lopez-Renteria, Nohe Ramon Cazarez-Castro
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Axioms
Subjects:
fuzzy differential equations
verhulst model
fuzzy coefficients
population dynamics
expert knowledge
Online Access:https://www.mdpi.com/2075-1680/14/1/36
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