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Multicriteria decision aid/analysis in finance

Spronk, Jaap, Steuer Ralph E., Zopounidis Konstantinos

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URIhttp://purl.tuc.gr/dl/dias/E264BD7B-FF99-409A-9517-6610A22396DA-
Identifierhttps://link.springer.com/chapter/10.1007%2F978-1-4939-3094-4_24-
Identifierhttps://doi.org/10.1007/978-1-4939-3094-4_24-
Languageen-
Extent55 pagesen
TitleMulticriteria decision aid/analysis in financeen
CreatorSpronk, Jaapen
CreatorSteuer Ralph E.en
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
PublisherSpringer New York LLCen
Content SummaryOver the past decades the complexity of financial decisions has increased rapidly, thus highlighting the importance of developing and implementing sophisticated and efficient quantitative analysis techniques for supporting and aiding financial decision making. Multicriteria decision aid (MCDA), an advanced branch of operations research, provides financial decision makers and analysts with a wide range of methodologies well-suited for the complexity of modern financial decision making. The aim of this chapter is to provide an in-depth presentation of the contributions of MCDA in finance focusing on the methods used, applications, computation, and directions for future research.en
Type of ItemΚεφάλαιο σε Βιβλίοel
Type of ItemBook Chapteren
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-11-27-
Date of Publication2016-
SubjectFinanceen
SubjectMulticriteria decision aiden
SubjectMultiple criteria optimizationen
SubjectOutranking relationsen
SubjectPortfolio theoryen
SubjectPreference disaggregation analysisen
Bibliographic CitationJ. Spronk, R. Steuer and C. Zopounidis, "Multicriteria decision aid/analysis in finance," in Multiple Criteria Decision Analysis, vol. 233, International Series in Operations Research and Management Science, S. Greco, M. Ehrgott, J. Figueira, Eds., New York, NY: Springer, 2016, pp. 1011-1065. doi: 10.1007/978-1-4939-3094-4_24en
Book TitleMultiple Criteria Decision Analysisen
Book SeriesInternational Series in Operations Research and Management Scienceen

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