33
| dc.contributor.advisor | 33 | |
| dc.contributor.author | De Bock, Koen W. | |
| dc.contributor.author | Coussement, Kristof | |
| dc.contributor.author | Caigny, Arno De | |
| dc.contributor.author | S?owi?ski, Roman | |
| dc.contributor.author | Baesens, Bart | |
| dc.contributor.author | Boute, Robert N. | |
| dc.contributor.author | Choi, Tsan Ming | |
| dc.contributor.author | Delen, Dursun | |
| dc.contributor.author | Kraus, Mathias | |
| dc.contributor.author | Lessmann, Stefan | |
| dc.contributor.author | Maldonado, Sebastián | |
| dc.contributor.author | Martens, David | |
| dc.contributor.author | Óskarsdóttir, María | |
| dc.contributor.author | Vairetti, Carla | |
| dc.contributor.author | Verbeke, Wouter | |
| dc.contributor.author | Weber, Richard | |
| dc.coverage | DOI: 10.1016/j.ejor.2023.09.026 | |
| dc.date | 2024 | |
| dc.date.accessioned | 05-01-2026 18:05 | |
| dc.date.available | 05-01-2026 18:05 | |
| dc.date.issued | 33 | |
| dc.description.abstract | The ability to understand and explain the outcomes of data analysis methods, with regard to aiding decision-making, has become a critical requirement for many applications. For example, in operational research domains, data analytics have long been promoted as a way to enhance decision-making. This study proposes a comprehensive, normative framework to define explainable artificial intelligence (XAI) for operational research (XAIOR) as a reconciliation of three subdimensions that constitute its requirements: performance, attributable, and responsible analytics. In turn, this article offers in-depth overviews of how XAIOR can be deployed through various methods with respect to distinct domains and applications. Finally, an agenda for future XAIOR research is defined. | |
| dc.identifier | https://investigadores.uandes.cl/en/publications/02a2e80b-2807-49a5-afaa-5df3ea718aac | |
| dc.identifier.citation | 33 | |
| dc.identifier.uri | 33 | |
| dc.language | eng | |
| dc.language.iso | 33 | |
| dc.publisher | 33 | |
| dc.relation | 33 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | vol.317 (2024) nr.2 p.249-272 | |
| dc.subject | Decision analysis | |
| dc.subject | Explainable artificial intelligence | |
| dc.subject | Interpretable machine learning | |
| dc.subject | XAI | |
| dc.subject | XAIOR | |
| dc.title | 33 | |
| dc.title | Explainable AI for Operational Research: a defining framework, methods, applications, and a research agenda | eng |
| dc.title | 33 | spa |
| dc.title | 33 | und |
| dc.type | 33 | |
| dc.type | Review article | eng |
| dc.type | Artículo de revisión | spa |