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Multi-criteria Ranking Based on Joint Distributions: A Tool to Support Decision Making
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). (DISA; DSIQ)
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). (DISA; DSIQ)ORCID-id: 0000-0003-1173-5187
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). (DISA; DSIQ)ORCID-id: 0000-0002-7565-3714
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). (DISA; DSIQ)ORCID-id: 0000-0002-0835-823X
2019 (engelsk)Inngår i: Perspectives in Business Informatics Research.BIR 2019: 18th International Conference on Business Informatics Research / [ed] Pańkowska M., Sandkuhl K, Springer, 2019, s. 74-88Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer, 2019. s. 74-88
Serie
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 365
Emneord [en]
Aggregation, Management by objectives, Ranking
HSV kategori
Forskningsprogram
Data- och informationsvetenskap, Datavetenskap; Datavetenskap, Programvaruteknik
Identifikatorer
URN: urn:nbn:se:lnu:diva-89171DOI: 10.1007/978-3-030-31143-8_6ISBN: 978-3-030-31142-1 (tryckt)ISBN: 978-3-030-31143-8 (digital)OAI: oai:DiVA.org:lnu-89171DiVA, id: diva2:1352122
Konferanse
18th International Conference, BIR 2019, Katowice, Poland, September 23-25, 2019
Forskningsfinansiär
Knowledge Foundation, 20150088Tilgjengelig fra: 2019-09-17 Laget: 2019-09-17 Sist oppdatert: 2019-09-18bibliografisk kontrollert

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Ulan, MariaEricsson, MorganLöwe, WelfWingkvist, Anna

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