Ranking-based MCDM models in financial management applications: analysis and emerging challenges
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comunitat-uji-handle2:10234/8645
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https://doi.org/10.1007/s13748-020-00207-1 |
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Title
Ranking-based MCDM models in financial management applications: analysis and emerging challengesDate
2020Publisher
SpringerISSN
2192-6352Bibliographic citation
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/s13748-020-00207-1Type
info:eu-repo/semantics/articlePublisher version
https://link.springer.com/article/10.1007/s13748-020-00207-1Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
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. [-]
Is part of
Progress in Artificial Intelligence, 2020.Investigation project
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