Enhancing wildfire response through drone selection: a BOCR-based multi-criteria approach

dc.contributor.authorTukenmez, I.
dc.contributor.authorKamisli Ozturk, Z.
dc.date.accessioned2026-02-08T15:15:06Z
dc.date.available2026-02-08T15:15:06Z
dc.date.issued2025
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractForest fires have increased in recent years and have become an increasingly urgent problem, posing serious threats to ecosystems, infrastructure, and human life. The economic, sociological, and environmental impacts of such disasters highlight the urgency for innovative and effective solutions. One such approach involves the use of drones equipped with advanced capabilities, such as fire suppression systems, to increase the effectiveness of firefighting operations. However, selecting the most suitable drone for these tasks presents a multi-criteria decision-making challenge. This study employs the benefit-opportunity-cost-risk (BOCR) framework to evaluate drone alternatives, using the analytic hierarchy process (AHP) mehod to determine the relative weights of the criteria. Subsequently, the VIKOR method and the TOPSIS method, two multi-criteria decision-making methods, are applied to rank the alternatives and identify optimal solutions. By integrating multiple methods, this study ensures a comprehensive and robust evaluation process, contributing to the growing body of research on drone applications in disaster management and providing stakeholders with a structured framework for effective decision-making.
dc.identifier.doi10.1007/s13762-025-06682-0
dc.identifier.endpage16570
dc.identifier.issn1735-1472
dc.identifier.issn1735-2630
dc.identifier.issue16
dc.identifier.scopus2-s2.0-105014887161
dc.identifier.scopusqualityQ1
dc.identifier.startpage16559
dc.identifier.urihttps://doi.org/10.1007/s13762-025-06682-0
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5588
dc.identifier.volume22
dc.identifier.wosWOS:001563545700001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofInternational Journal of Environmental Science and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWOS_KA_20260207
dc.subjectDrone selection
dc.subjectMCDM
dc.subjectAHP
dc.subjectTOPSIS
dc.subjectVIKOR
dc.subjectForest fire management
dc.titleEnhancing wildfire response through drone selection: a BOCR-based multi-criteria approach
dc.typeArticle

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