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Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information

Author

Listed:
  • Abdollah Hadi-Vencheh

    (Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan 81595-158, Iran)

  • Yong Tan

    (Department of Accounting, Finance and Economics, Huddersfield Business School, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK)

  • Peter Wanke

    (COPPEAD Graduate Business School, Federal University of Rio de Janeiro, 28 20520-120 Rio de Janeiro, Brazil)

  • Seyed Mohammadreza Loghmanian

    (Department of Mechanical Engineering, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Isfahan 19615-1194, Iran)

Abstract

Assessment of and controlling air pollution are urgent global issues where international cooperation is deemed necessary. Although a very relevant data source can be obtained through continuous monitoring of air quality, measuring air pollutant concentrations is quite difficult when compared to other environmental indicators. We mainly have three different aims for the current study: (1) we propose the computation of the interval weights of decision makers (DMs) based on a group multiple criteria decision making (GMCDM) model; (2) we aim to rank the overall preferences of DMs by the possibility concepts; (3) we aim to evaluate the air quality in China using the most recent data based on our proposed method. We consider three monitoring stations, namely Luhu Park, Wanqingsha, and Tianhu, and the data for SO 2 , NO 2 , and PM 10 are collected for November 2017, 2018, and 2019. The results from our innovative model show that November 2019 had the best air quality. Finally, robustness analyses are also performed to confirm the discriminatory power of the proposed approach.

Suggested Citation

  • Abdollah Hadi-Vencheh & Yong Tan & Peter Wanke & Seyed Mohammadreza Loghmanian, 2021. "Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1686-:d:493333
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    References listed on IDEAS

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