Evaluating UAV Alternatives for Post-Disaster Situations: An Integrated Decision-Making Methodology
The rapid and efficient deployment of unmanned aerial vehicles (UAVs) in post-disaster scenarios is recognized as critical for effective management and logistics. The problem of selecting the most suitable UAVs for three key tasks—monitoring, light load transportation, and heavy load tran...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10776771/ |
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| author | Serap Ercan Comert Sena Kir Zeynep Ozsoy Meleknur Demirel |
| author_facet | Serap Ercan Comert Sena Kir Zeynep Ozsoy Meleknur Demirel |
| author_sort | Serap Ercan Comert |
| collection | DOAJ |
| description | The rapid and efficient deployment of unmanned aerial vehicles (UAVs) in post-disaster scenarios is recognized as critical for effective management and logistics. The problem of selecting the most suitable UAVs for three key tasks—monitoring, light load transportation, and heavy load transportation—is addressed in this study. An extensive review of related literature was conducted to identify specific evaluation criteria tailored to each task. The UAV evaluation problem has been divided into three sub-problems, and an integrated multi-criteria decision-making (MCDM) approach is proposed within a Pythagorean Fuzzy environment for evaluation. The Step-Wise Weight Assessment Ratio Analysis (SWARA) method was employed to determine criteria weights. To rank UAVs currently available on the market, the Evaluation Based on Distance from Average Solution (EDAS) and Combinative Distance-based Assessment (CODAS) techniques were applied, with the Copeland Score used to aggregate and finalize the ranking based on each UAV’s overall performance across criteria. The results highlight key UAV choices for each task, guiding decision-makers toward UAVs that best meet the specific operational needs of post-disaster logistics. This framework provides a robust, adaptable tool for enhancing the agility and effectiveness of disaster response strategies through informed UAV selection. |
| format | Article |
| id | doaj-art-927cb0c89b2e4a9aa9ccf6cc0eccde1e |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-927cb0c89b2e4a9aa9ccf6cc0eccde1e2025-08-20T01:54:38ZengIEEEIEEE Access2169-35362024-01-011218348918350910.1109/ACCESS.2024.351091810776771Evaluating UAV Alternatives for Post-Disaster Situations: An Integrated Decision-Making MethodologySerap Ercan Comert0https://orcid.org/0000-0003-0274-0806Sena Kir1https://orcid.org/0000-0002-5615-8814Zeynep Ozsoy2https://orcid.org/0009-0009-4358-2788Meleknur Demirel3Faculty of Industrial Engineering, Sakarya University, Sakarya, TürkiyeFaculty of Industrial Engineering, Sakarya University, Sakarya, TürkiyeFaculty of Industrial Engineering, Sakarya University, Sakarya, TürkiyeFaculty of Industrial Engineering, Sakarya University, Sakarya, TürkiyeThe rapid and efficient deployment of unmanned aerial vehicles (UAVs) in post-disaster scenarios is recognized as critical for effective management and logistics. The problem of selecting the most suitable UAVs for three key tasks—monitoring, light load transportation, and heavy load transportation—is addressed in this study. An extensive review of related literature was conducted to identify specific evaluation criteria tailored to each task. The UAV evaluation problem has been divided into three sub-problems, and an integrated multi-criteria decision-making (MCDM) approach is proposed within a Pythagorean Fuzzy environment for evaluation. The Step-Wise Weight Assessment Ratio Analysis (SWARA) method was employed to determine criteria weights. To rank UAVs currently available on the market, the Evaluation Based on Distance from Average Solution (EDAS) and Combinative Distance-based Assessment (CODAS) techniques were applied, with the Copeland Score used to aggregate and finalize the ranking based on each UAV’s overall performance across criteria. The results highlight key UAV choices for each task, guiding decision-makers toward UAVs that best meet the specific operational needs of post-disaster logistics. This framework provides a robust, adaptable tool for enhancing the agility and effectiveness of disaster response strategies through informed UAV selection.https://ieeexplore.ieee.org/document/10776771/Unmanned aerial vehicle evaluationPythagorean fuzzy environmentSWARAEDASCODASCopeland Score |
| spellingShingle | Serap Ercan Comert Sena Kir Zeynep Ozsoy Meleknur Demirel Evaluating UAV Alternatives for Post-Disaster Situations: An Integrated Decision-Making Methodology IEEE Access Unmanned aerial vehicle evaluation Pythagorean fuzzy environment SWARA EDAS CODAS Copeland Score |
| title | Evaluating UAV Alternatives for Post-Disaster Situations: An Integrated Decision-Making Methodology |
| title_full | Evaluating UAV Alternatives for Post-Disaster Situations: An Integrated Decision-Making Methodology |
| title_fullStr | Evaluating UAV Alternatives for Post-Disaster Situations: An Integrated Decision-Making Methodology |
| title_full_unstemmed | Evaluating UAV Alternatives for Post-Disaster Situations: An Integrated Decision-Making Methodology |
| title_short | Evaluating UAV Alternatives for Post-Disaster Situations: An Integrated Decision-Making Methodology |
| title_sort | evaluating uav alternatives for post disaster situations an integrated decision making methodology |
| topic | Unmanned aerial vehicle evaluation Pythagorean fuzzy environment SWARA EDAS CODAS Copeland Score |
| url | https://ieeexplore.ieee.org/document/10776771/ |
| work_keys_str_mv | AT serapercancomert evaluatinguavalternativesforpostdisastersituationsanintegrateddecisionmakingmethodology AT senakir evaluatinguavalternativesforpostdisastersituationsanintegrateddecisionmakingmethodology AT zeynepozsoy evaluatinguavalternativesforpostdisastersituationsanintegrateddecisionmakingmethodology AT meleknurdemirel evaluatinguavalternativesforpostdisastersituationsanintegrateddecisionmakingmethodology |