Ranking-based MCDM models in financial management applications: analysis and emerging challenges
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Scholar |
Altres documents de l'autoria: Marqués Marzal, Ana Isabel; García, Vicente; Sánchez Garreta, Josep Salvador
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https://doi.org/10.1007/s13748-020-00207-1 |
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Títol
Ranking-based MCDM models in financial management applications: analysis and emerging challengesData de publicació
2020Editor
SpringerISSN
2192-6352Cita bibliogràfica
Marqués, A.I., García, V. & Sánchez, J.S. Ranking-based MCDM models in financial management applications: analysis and emerging challenges. Prog Artif Intell (2020). https://doi.org/10.1007/s13748-020-00207-1Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://link.springer.com/article/10.1007/s13748-020-00207-1Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Over the last decades, the academic and professional communities have paid much attention toward the use of multi-criteria
decision-making methods in a range of business and financial problems due to the variety and ... [+]
Over the last decades, the academic and professional communities have paid much attention toward the use of multi-criteria
decision-making methods in a range of business and financial problems due to the variety and complexity of their decisions.
Within this branch of operations research, the value-based and outranking relations approaches stand as two of the most
powerful methodologies for decision-makers and analysts to produce accurate predictions and consistent evaluations in
financial decision-making problems. This paper aims to provide an in-depth presentation of the contributions of multiattribute value-based and outranking relations methods to a group of relevant financial applications in the period 2000–2018,
putting the emphasis on the state-of-the-art developments and identifying open questions and critical challenges that deserve
further research efforts. [-]
Publicat a
Progress in Artificial Intelligence, 2020.Proyecto de investigación
UJI-B2018-49Drets d'accés
© Springer-Verlag GmbH Germany, part of Springer Nature 2020
http://rightsstatements.org/vocab/InC/1.0/
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info:eu-repo/semantics/restrictedAccess
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