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Evaluation of Environmental Quality in Northern Winter Fattening Pig Houses Based on AHP-EWM

Author

Listed:
  • Jinsheng Li

    (College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
    College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China)

  • Tianhao Li

    (College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China)

  • Tingting Jing

    (College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China)

  • Zhi Wang

    (College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China)

  • Tianhao Zhong

    (College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China)

  • Lina Zhou

    (College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China)

  • Hailong Jiang

    (College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China)

Abstract

The interior of a pigsty is a nonlinear system formed by multiple interacting environmental factors, making it challenging to reasonably and accurately assess the environmental comfort levels. To address this, we propose an environmental comfort evaluation index based on livestock farming standards. By combining the analytic hierarchy process (AHP) and entropy weight method (EWM), we determine the weights of each evaluation index. Finally, the evaluation results are visualized using radar charts, and the model is validated. We apply this model to monitor and analyze environmental factors in a fattening pigsty at a farm in Central Jilin Province. The results demonstrate that the AHP-EWM multi-factor comprehensive evaluation method effectively reflects overall environmental comfort variations in the pigsty and captures interactions among environmental factors across different time periods. This study establishes a methodological foundation for comprehensive pigsty environmental assessment, precision control, and enhanced environmental comfort.

Suggested Citation

  • Jinsheng Li & Tianhao Li & Tingting Jing & Zhi Wang & Tianhao Zhong & Lina Zhou & Hailong Jiang, 2025. "Evaluation of Environmental Quality in Northern Winter Fattening Pig Houses Based on AHP-EWM," Agriculture, MDPI, vol. 15(6), pages 1-16, March.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:6:p:584-:d:1608906
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    References listed on IDEAS

    as
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    2. Pei Yin & Jing Cheng & Miaojuan Peng, 2022. "Analyzing the Passenger Flow of Urban Rail Transit Stations by Using Entropy Weight-Grey Correlation Model: A Case Study of Shanghai in China," Mathematics, MDPI, vol. 10(19), pages 1-23, September.
    3. Jiawei Qi & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyang Wu & Chenyu Duan & Zhongshuai Cheng & Zengkai Pan, 2022. "Research on the Evaluation of Geological Environment Carrying Capacity Based on the AHP-CRITIC Empowerment Method," Land, MDPI, vol. 11(8), pages 1-17, July.
    4. Saaty, Thomas L., 1978. "Modeling unstructured decision problems — the theory of analytical hierarchies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 20(3), pages 147-158.
    5. Yuxin Zhu & Dazuo Tian & Feng Yan, 2020. "Effectiveness of Entropy Weight Method in Decision-Making," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-5, March.
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