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Progress in Artificial Intelligence

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18.05.2020 | Review

Ranking-based MCDM models in financial management applications: analysis and emerging challenges

verfasst von: Ana I. Marqués, Vicente García, J. Salvador Sánchez

Erschienen in: Progress in Artificial Intelligence | Ausgabe 3/2020

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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 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 multi-attribute 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.

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Titel: Ranking-based MCDM models in financial management applications: analysis and emerging challenges
verfasst von: Ana I. Marqués
Vicente García
J. Salvador Sánchez
Publikationsdatum: 18.05.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Progress in Artificial Intelligence / Ausgabe 3/2020
Print ISSN: 2192-6352
Elektronische ISSN: 2192-6360
DOI: https://doi.org/10.1007/s13748-020-00207-1

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