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Multi-criteria Ranking Based on Joint Distributions: A Tool to Support Decision Making
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA; DSIQ)
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA; DSIQ)ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA; DSIQ)ORCID iD: 0000-0002-7565-3714
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA; DSIQ)ORCID iD: 0000-0002-0835-823X
2019 (English)In: Perspectives in Business Informatics Research.BIR 2019: 18th International Conference on Business Informatics Research / [ed] Pańkowska M., Sandkuhl K, Springer, 2019, p. 74-88Conference paper, Published paper (Refereed)
Abstract [en]

Sound assessment and ranking of alternatives are fundamental to effective decision making. Creating an overall ranking is not trivial if there are multiple criteria, and none of the alternatives is the best according to all criteria. To address this challenge, we propose an approach that aggregates criteria scores based on their joint (probability) distribution and obtains the ranking as a weighted product of these scores. We evaluate our approach in a real-world use case based on a funding allocation problem and compare it with the traditional weighted sum aggregation model. The results show that the approaches assign similar ranks, while our approach is more interpretable and sensitive.

Place, publisher, year, edition, pages
Springer, 2019. p. 74-88
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 365
Keywords [en]
Aggregation, Management by objectives, Ranking
National Category
Software Engineering
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-89171DOI: 10.1007/978-3-030-31143-8_6ISBN: 978-3-030-31142-1 (print)ISBN: 978-3-030-31143-8 (electronic)OAI: oai:DiVA.org:lnu-89171DiVA, id: diva2:1352122
Conference
18th International Conference, BIR 2019, Katowice, Poland, September 23-25, 2019
Funder
Knowledge Foundation, 20150088Available from: 2019-09-17 Created: 2019-09-17 Last updated: 2019-09-18Bibliographically approved

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Ulan, MariaEricsson, MorganLöwe, WelfWingkvist, Anna

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