Research on Customer Evaluation and Its Impact on Illegal Wildlife Trade Based on Entropy Weight Method and TOPSIS

Wildlife protection is a critical issue in today’s world, yet determining the most effective human interventions remains challenging. To enhance wildlife conservation planning, this paper establishes a mathematical model based on the TOPSIS method with an entropy weight approach. By analyzing data from 15 organizations, we found that WWF achieved a standardized score of 0.3741, indicating the most significant contribution to wildlife protection. Additionally, the Spearman correlation coefficient was used to assess the interactions among various factors and conduct a correlation analysis of different indicators. Finally, the correlation coefficient between protected areas and protected species was compared with WWF’s findings. It was observed that some discrepancies existed between the conclusions derived from the Spearman correlation analysis and actual outcomes. This analysis highlights the complexities of wildlife protection and the importance of precise data-driven approaches.

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Publication Details

Journal
Highlights in Business Economics and Management
Published
2025-03-17
DOI
https://doi.org/10.54097/dms2e662
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Customer Evaluation and Its Impact on Illegal Wildlife Trade Based on Entropy Weight Method and TOPSIS

Siyu Huang, Lang Lang
1 links
Highlights in Business Economics and Management
E-commerce and Technology Innovations
article

Research on Customer Evaluation and Its Impact on Illegal Wildlife Trade Based on Entropy Weight Method and TOPSIS

Siyu Huang, Lang Lang
article en

Abstract

Wildlife protection is a critical issue in today’s world, yet determining the most effective human interventions remains challenging. To enhance wildlife conservation planning, this paper establishes a mathematical model based on the TOPSIS method with an entropy weight approach. By analyzing data from 15 organizations, we found that WWF achieved a standardized score of 0.3741, indicating the most significant contribution to wildlife protection. Additionally, the Spearman correlation coefficient was used to assess the interactions among various factors and conduct a correlation analysis of different indicators. Finally, the correlation coefficient between protected areas and protected species was compared with WWF’s findings. It was observed that some discrepancies existed between the conclusions derived from the Spearman correlation analysis and actual outcomes. This analysis highlights the complexities of wildlife protection and the importance of precise data-driven approaches.

Highlights in Business Economics and ManagementVol. 53
Openalex Percentile: Top 86%
E-commerce and Technology Innovations
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