Management Strategies for the Conservation of Wildlife Based on the Analytic Hierarchy Process and Gray Prediction Models

Minghuan Piao; Wanting Zhang; Chaofeng Cheng

doi:10.2991/978-94-6463-256-9_155

<Previous Article In Volume

Next Article In Volume>

Management Strategies for the Conservation of Wildlife Based on the Analytic Hierarchy Process and Gray Prediction Models

Authors

Minghuan Piao¹^{, *}, Wanting Zhang², Chaofeng Cheng¹

¹Department of Computer Science and Technology, Yanbian University, Yanji, Jilin Province, China

²Department of Mathematics and Applied Mathematics (Teacher Training), Yanbian University, Yanji, Jilin Province, China

^*Corresponding author. Email: 2252196536@qq.com

Corresponding Author

Minghuan Piao

Available Online 9 October 2023.

DOI: 10.2991/978-94-6463-256-9_155 How to use a DOI?
Keywords: gray correlation analysis; AHP; management strategies; gray prediction model
Abstract: This paper investigates resource management methods in the Masai Mara Wildlife Reserve, proposing management strategies for the conservation of wildlife and natural resources. We utilize the Analytic Hierarchy Process (AHP) model and gray relational analysis to determine the most effective management strategies and predict their long-term trends. We optimize weight values using a stepwise quality house method and establish an AHP hierarchical analysis model. Finally, we construct a gray forecasting model to predict the data for the next 12 years of the management strategies, enabling a long-term projection. Our findings can provide insights for conservationists and policymakers for effective resource management in the Masai Mara Wildlife Reserve.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume

Next Article In Volume>

Volume Title: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series: Advances in Economics, Business and Management Research
Publication Date: 9 October 2023
ISBN: 10.2991/978-94-6463-256-9_155
ISSN: 2352-5428
DOI: 10.2991/978-94-6463-256-9_155 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Minghuan Piao
AU  - Wanting Zhang
AU  - Chaofeng Cheng
PY  - 2023
DA  - 2023/10/09
TI  - Management Strategies for the Conservation of Wildlife Based on the Analytic Hierarchy Process and Gray Prediction Models
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1529
EP  - 1539
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_155
DO  - 10.2991/978-94-6463-256-9_155
ID  - Piao2023
ER  -

download .riscopy to clipboard