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The aim of this study is to develop a data-driven 5-year project to combat illegal wildlife trade. Drawing upon resources such as TRAFFIC, a wildlife trade monitoring network, we identified 3 superior indicators and established 15 inferior indicators for illegal animal trade. Through the use of Entropy Weight Method (EWM) and Analytic Hierarchy Process (AHP), we calculated the weights of these inferior indicators, subsequently determining the weights of the inferior indicators. Utilizing the Topsis score, we evaluated and ranked countries based on these indicators, ultimately selecting the United States, Russia, Canada, Australia, and Brazil as priority targets for intervention.
Sun et al. (Mon,) studied this question.
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