An interactive group decision model for selecting treatment schemes for mitigating air pollution
Jun-Liang Du1, Yong Liu2, Jeffrey Yi-Lin Forrest1
1School of Business, Jiangnan University, Jiangsu, Wuxi, 214122, China.
Summary
This study introduces a new group negotiation model to select effective air pollution control strategies. It helps decision-makers navigate complex preferences for better environmental policy.
Area of Science:
- Environmental Science
- Decision Science
- Operations Research
Background:
- Air pollution poses significant risks to life and property, necessitating effective mitigation strategies.
- Selecting optimal air pollution treatment schemes involves complex group decision-making with uncertain information.
Purpose of the Study:
- To propose a novel group negotiation decision model for selecting air pollution treatment schemes.
- To address the challenges of fuzzy information and diverse preferences in group decision-making for environmental policy.
Main Methods:
- Utilized hesitant fuzzy sets to handle uncertainty in decision-maker preferences.
- Employed grey target and grey incidence analysis for evaluating scheme effectiveness.
- Applied the graph model for conflict resolution (GMCR) to find equilibrium solutions.
Main Results:
- The proposed model successfully determines equilibrium schemes for air pollution treatment.
- Demonstrates a structured approach to group negotiation in environmental policy selection.
- Provides a framework for integrating multiple decision-making techniques.
Conclusions:
- The developed group negotiation model offers a practical method for selecting air pollution mitigation strategies.
- This approach can aid governmental bodies, like China's, in implementing targeted air pollution control programs.
- Highlights the importance of robust decision-making models for complex environmental challenges.
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