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Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-carbon Technology Schemes in
Ping Lu1,2, Xuan Yang3, Zhou-Jing Wang4
1School of Economic and Management, Xiamen University of Technology, Xiamen 361024, China. luping@xmut.edu.cn.
International Journal of Environmental Research and Public Health
|September 22, 2018
Summary
This study introduces a new framework for selecting energy-saving and low-carbon technologies using a group consensus model. It helps multiple decision-makers reach an agreement on complex technology choices for green initiatives.
Area of Science:
- Environmental Science
- Decision Science
- Engineering Management
Background:
- Energy-saving and low-carbon technologies are crucial for environmental risk reduction and green tourism development.
- Selecting these technologies often involves complex, multi-criteria group decision-making processes with multiple stakeholders.
- Existing methods may lack robust mechanisms for achieving group consensus in fuzzy environments.
Purpose of the Study:
- To propose a novel framework for solving hierarchical multi-criteria group decision-making problems in the context of technology selection.
- To develop a consensus model that effectively integrates decision-makers' preferences expressed as triangular fuzzy preference relations (TFPRs).
- To simplify computations and introduce measures for consistency and consensus in fuzzy group decision-making.
Main Methods:
- Eliciting decision-makers' preferences using the paired comparison method to form triangular fuzzy preference relations (TFPRs).
- Simplifying computational formulas for triangular fuzzy weights and devising a consistency index for TFPRs.
- Developing a consensus model incorporating a possibility degree formula to measure agreement between individual and group rankings.
Main Results:
- Simplified computation formulas for triangular fuzzy weights.
- A novel consistency index to assess the reliability of TFPRs.
- A defined consensus index to quantify agreement among decision-makers, leading to a robust group decision-making model.
Conclusions:
- The proposed framework provides an effective method for group consensus decision-making in selecting energy-saving and low-carbon technologies.
- The model enhances the practical application of fuzzy multi-criteria group decision-making in sustainable technology selection.
- A case study on selecting technologies for star hotels demonstrates the model's utility and effectiveness.
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