A combined multi-criteria risk decision and rank aggregation approach with multiple risk factors with an application to greenhouse gas emission risk assessment of sectors
| dc.contributor.author | Brito, Irene | |
| dc.date.accessioned | 2026-02-05T07:53:30Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | In this work, a combined multi-criteria risk decision making and rank aggregation method, WASPAS-WBR, is proposed for the risk assessment of alternatives according to different risk factors. The method consists first in applying the weighted aggregated sum product assessment (WASPAS) method, with criteria defined by risk measures, in order to obtain a ranking of the alternatives for a given risk factor. After obtaining the rankings for the different risk factors, the rank aggregation method weighted Borda ranking (WBR) is applied to establish a final ranking of the alternatives. The WASPAS-WBR method is illustrated with an application to the risk analysis of greenhouse gas emission by sectors, considering the risk factors carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). The aim is to classify the sectors in terms of risk for greenhouse gas emission, first by evaluating the sectors according to each individual air pollutant using the WASPAS method with risk criteria mean, value at risk and tail value at risk, and then by assessing the combined risk with the WASPAS-WBR method. Data corresponding to annual greenhouse gas concentrations measured in Portugal in the time horizon from 1990 to 2022 are analysed. | eng |
| dc.description.sponsorship | This research was partially financed by Portuguese Funds through FCT (“Fundação para a Ciência e a Tecnologia”) within the Project UID/00013/2025 (https://doi.org/10.54499/UID/00013/2025). | |
| dc.distribution | international | |
| dc.identifier.doi | 10.1007/s43069-026-00607-4 | |
| dc.identifier.eissn | 2662-2556 | |
| dc.identifier.uri | https://hdl.handle.net/1822/99622 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer Nature | |
| dc.relation | UID/00013/2025 | |
| dc.relation.hasversion | This version of the article has been accepted for publication, after peer review but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s43069-026-00607-4 | |
| dc.rights | openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Risk assessment | |
| dc.subject | Risk measures | |
| dc.subject | Multi-criteria decision making | |
| dc.subject | Ranking aggregation | |
| dc.subject | Greenhouse gas emission | |
| dc.title | A combined multi-criteria risk decision and rank aggregation approach with multiple risk factors with an application to greenhouse gas emission risk assessment of sectors | eng |
| dc.type | article | por |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 19 | |
| oaire.citation.volume | 7 | |
| oaire.citationIssue | 1 | por |
| oaire.citationVolume | 7 | por |
| oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| sdum.journal | Operations Research Forum |
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