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

Siyu Huang; Hao Wang; Lang Lang

doi:10.54097/dms2e662

Authors

Siyu Huang
Hao Wang
Lang Lang

DOI:

https://doi.org/10.54097/dms2e662

Keywords:

TOPSIS, Entropy Weight Method, Spearman Correlation Coefficient.

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.

Downloads

Download data is not yet available.

References

[1] CAI Ying-li, ZHU Hong-Ge, LI Jia-Xin. Evolution, Main measures and development trends of biodiversity conservation policies in china [J]. Biological Diversity.2024, 32: 23386.

[2] Shi Pei-Tao, Zhang Ji-Xiong, Zhang Qiang, Yan Hao, Zong Ting-Cheng. Research on evaluation method of TOPSIS filling hydraulic support for coal mining with comprehensive empowerment [J]. Journal of Mining and Safety Engineering. 2023, 40 (3): 543-553.

[3] Chen Nanning, Liu Zhenghao, Xiao Yingzhe,et al. Paper matching and pattern selection of corrugated box based on DEA-EWM-TOPSIS algorithm. [J]. China Pulp & Paper, 2024, 43 (2).

[4] Zhan Mingqiang, Chen Bo, Tian Jufei, et al. Dam risk identification method based on EAHP-EWM-Game TOPSIS. [J]. Pearl River, 2024, 45 (4).

[5] Zhao Yunrui, Gao Haibo, Lin Zhiguo,et al. Selection evaluation of Anti-Roll Fin for polar cruise ships based on Combination-Weighted TOPSIS method [J]. Chinese Ship Research. 2021, 16 (5): 121-126, 149.

[6] Han Sheng, Han Jianzhou, Zhao Xuan, et al. Improved Pearson Correlation Coefficient of distance weight and its application [J]. Oil Geophysical Prospecting.2019, 54 (6): 1363-1370.

[7] Yang Pan, Lu Lu, Wang Jibao, Chen Hechun. Application of Spearman Rank Correlation Coefficient method based on Principal Component Analysis in water quality analysis of Yangtze River Mainstream [J]. Environmental Engineering.2019.

[8] Wang Jun, Cao Junxing, You Jiachun,et al. Prediction of reservoir porosity parameters based on gated circulation unit neural network [J]. Petroleum Geophysical Exploration.2020, 59 (4): 616-627.

[9] Wu Bin-Xin, Liu Mei, Zhou Zheng-Nan, et al. Fault feature selection method of rolling bearing based on multi-dimensional information fusion evaluation method. [J]. Journal of Mechanical & Electrical Engineering, 2023, 40 (6).

[10] Yang Zhe, Wu Jian. Driving factors of the spatial distribution of nature reserves in China [J]. China Population, Resources and Environment, 2022, 32 (5): 144-155.