| Title | Applying Fermatean fuzzy sets in sustainable development assessment: a case study in the wire and cable sector |
|---|---|
| ID_Doc | 70679 |
| Authors | Tsai, JF; Shen, SP; Lin, MH |
| Title | Applying Fermatean fuzzy sets in sustainable development assessment: a case study in the wire and cable sector |
| Year | 2024 |
| Published | |
| Abstract | Businesses implement sustainability to enhance their long-term viability by reducing environmental impact and preserving resources. The wire and cable sector must urgently pursue sustainability due to its heavy reliance on resource-intensive materials like copper and plastic. Adapting to stricter global environmental regulations and meeting the increasing demand for eco-friendly products are essential for maintaining competitiveness and compliance in the industry. This study introduces an innovative hybrid multi-criteria decision-making (MCDM) model, named FFS-DEMATEL-TOPSIS, which effectively integrates the decision-making trial and evaluation laboratory (DEMATEL) and the technique for order preference by similarity to ideal solution (TOPSIS) methodologies. Enhanced with Fermatean fuzzy sets (FFSs), this model is designed to assess sustainable development strategies and evaluate current performance metrics comprehensively. This study primarily focuses on four dimensions of sustainability within the wire and cable sector, including environmental, social, corporate governance, and risk management. These dimensions are further expanded into 12 core criteria, providing a comprehensive framework for assessing and enhancing sustainability practices in the industry. The study results reveal that the top five criteria with the highest impact weights are "board functionality," "pollution zero emission," "product carbon footprint," "business risk," and "supply chain management." Decision-makers should focus on comprehensively reviewing the current state of these areas and devise appropriate improvement strategies to enhance their performance. Notably, "board functionality" significantly influences other criteria, underscoring the importance of executive support in implementing sustainable development. This model and evaluation framework can serve as a foundation for assessing sustainability performance in other industries. |
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