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

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Minghuan Piao

    (Yanbian University, Department of Computer Science and Technology)

  • Wanting Zhang

    (Yanbian University, Department of Mathematics and Applied Mathematics (Teacher Training))

  • Chaofeng Cheng

    (Yanbian University, Department of Computer Science and Technology)

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.

Suggested Citation

  • Minghuan Piao & Wanting Zhang & Chaofeng Cheng, 2024. "Management Strategies for the Conservation of Wildlife Based on the Analytic Hierarchy Process and Gray Prediction Models," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 1529-1539, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_155
    DOI: 10.2991/978-94-6463-256-9_155
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