An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals
Sustainable development serves as a guiding principle, striving to achieve human development goals while ensuring that natural systems can support essential ecosystem services and resources. The 2030 Agenda for Sustainable Development, accepted by all United Nations Member States in 2015, offers a u...
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Elsevier Ltd
2025
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| author | Saha A. Mishra A.R. Rani P. Deveci M. Debnath B.K. Jamil N. Mahmoud M.A. |
| author2 | 59412512200 |
| author_facet | 59412512200 Saha A. Mishra A.R. Rani P. Deveci M. Debnath B.K. Jamil N. Mahmoud M.A. |
| author_sort | Saha A. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Sustainable development serves as a guiding principle, striving to achieve human development goals while ensuring that natural systems can support essential ecosystem services and resources. The 2030 Agenda for Sustainable Development, accepted by all United Nations Member States in 2015, offers a unifying framework for peace and prosperity for people and the planet, both now and in the future. The Sustainable Development Goals (SDGs) include specific targets and indicators, helping to assess a country's progress towards achieving the goals. To evaluate the EU (European Union) countries' alignment with the SDGs, this study develops a group decision-making approach by integrating DEA (Data Envelopment Analysis), MARCOS (Measurements Alternatives and Ranking according to COmpromise Solution), and an optimization model. A DEA is a highly suitable procedure for evaluating the performance of multiple peer entities, often referred to as Decision-making Units (DMUs) or alternatives. On the other hand, the benefits of MARCOS are: (i) it considers both the ideal (ID) and anti-ideal (AID) scenarios and, (ii) it exemplifies the utility degree of each option in association to ID and AID. Lastly, the combination of cross-entropy and divergence measures effectively deal with the information loss occurred during the determining the weights of considered criteria. Therefore, the proposed hybrid model is more sensible and practical. According to the final results, Austria stands out as the top performer among the EU countries in implementing the SDGs and achieving favorable outcomes. ? 2024 Elsevier Ltd |
| format | Article |
| id | my.uniten.dspace-36091 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | my.uniten.dspace-360912025-03-03T15:41:22Z An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals Saha A. Mishra A.R. Rani P. Deveci M. Debnath B.K. Jamil N. Mahmoud M.A. 59412512200 58662062600 57195068589 55734383000 57200631271 36682671900 55247787300 Austria data envelopment analysis decision making ecosystem service European Union multicriteria analysis optimization Sustainable Development Goal United Nations article Austria decision making entropy European Union human multicriteria decision analysis sustainable development sustainable development goal Sustainable development serves as a guiding principle, striving to achieve human development goals while ensuring that natural systems can support essential ecosystem services and resources. The 2030 Agenda for Sustainable Development, accepted by all United Nations Member States in 2015, offers a unifying framework for peace and prosperity for people and the planet, both now and in the future. The Sustainable Development Goals (SDGs) include specific targets and indicators, helping to assess a country's progress towards achieving the goals. To evaluate the EU (European Union) countries' alignment with the SDGs, this study develops a group decision-making approach by integrating DEA (Data Envelopment Analysis), MARCOS (Measurements Alternatives and Ranking according to COmpromise Solution), and an optimization model. A DEA is a highly suitable procedure for evaluating the performance of multiple peer entities, often referred to as Decision-making Units (DMUs) or alternatives. On the other hand, the benefits of MARCOS are: (i) it considers both the ideal (ID) and anti-ideal (AID) scenarios and, (ii) it exemplifies the utility degree of each option in association to ID and AID. Lastly, the combination of cross-entropy and divergence measures effectively deal with the information loss occurred during the determining the weights of considered criteria. Therefore, the proposed hybrid model is more sensible and practical. According to the final results, Austria stands out as the top performer among the EU countries in implementing the SDGs and achieving favorable outcomes. ? 2024 Elsevier Ltd Final 2025-03-03T07:41:22Z 2025-03-03T07:41:22Z 2024 Article 10.1016/j.envsci.2024.103913 2-s2.0-85205935056 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205935056&doi=10.1016%2fj.envsci.2024.103913&partnerID=40&md5=1a1978b99062d8d10747fd5cb0921945 https://irepository.uniten.edu.my/handle/123456789/36091 162 103913 Elsevier Ltd Scopus |
| spellingShingle | Austria data envelopment analysis decision making ecosystem service European Union multicriteria analysis optimization Sustainable Development Goal United Nations article Austria decision making entropy European Union human multicriteria decision analysis sustainable development sustainable development goal Saha A. Mishra A.R. Rani P. Deveci M. Debnath B.K. Jamil N. Mahmoud M.A. An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals |
| title | An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals |
| title_full | An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals |
| title_fullStr | An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals |
| title_full_unstemmed | An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals |
| title_short | An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals |
| title_sort | optimization model-based dea-marcos approach for assessing eu countries towards achieving sustainable development goals |
| topic | Austria data envelopment analysis decision making ecosystem service European Union multicriteria analysis optimization Sustainable Development Goal United Nations article Austria decision making entropy European Union human multicriteria decision analysis sustainable development sustainable development goal |
| url_provider | http://dspace.uniten.edu.my/ |