| Title |
An ideal plastic waste management system based on an enhanced MCDM technique |
| ID_Doc |
29150 |
| Authors |
Suvitha, K; Narayanamoorthy, S; Pamucar, D; Kang, D |
| Title |
An ideal plastic waste management system based on an enhanced MCDM technique |
| Year |
2024 |
| Published |
Artificial Intelligence Review, 57.0, 4 |
| DOI |
10.1007/s10462-024-10737-y |
| Abstract |
The Fermatean probabilistic hesitant fuzzy set (FPHFS) concept is a method that combines Fermatean fuzzy sets and PHFS to provide detailed MCDM problem solutions. The management of solid waste is facing challenges in disposing of environmentally harmful plastic products. The study primarily focuses on plastic waste from the packaging industry, as it is the primary contributor to overall waste generation. The packaging sector has proposed a concept for the recycling of waste at various levels. This study aims to assess the effectiveness of the hybrid analytic hierarchy process and the combinative distance-based assessment (AHP-CODAS) method FPHFS in determining the most suitable plastic waste collection system. The AHP analysis identified the most effective methods for collecting plastic waste for recycling, emphasizing successful segregation for efficient recycling. A deposit and refund system promotes waste collection and a circular economy by facilitating efficient waste management. The research offers valuable insights into selecting packaging waste collection (PWC) technology in uncertain environments and enhances decision-making methods in the field. |
| Author Keywords |
Decision making; Fermatean probabilistic hesitant fuzzy set; Combinative distance-based assessment; Packaging waste collection |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001187539000002 |
| WoS Category |
Computer Science, Artificial Intelligence |
| Research Area |
Computer Science |
| PDF |
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