On Ordinal Information-Based Weighting Methods and Comparison Analyses

Autor: Zhor Chergui, Antonio Jiménez-Martín

Publikováno v: Information, Vol 15, Iss 9, p 527 (2024)

In this paper, we focus on weighting methods within multi-attribute utility/value theory (MAUT/MAVT). In these methods, the decision maker (DM) provides ordinal information about the relative importance of criteria, but also additional information co

Externí odkaz: https://doaj.org/article/a695790e23aa4f7fb10fcc2554705ef4

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Analysis using multi-criteria decision making to evaluate smart phone alternatives within the global supply

Autor: Pozdílková Alena, Hedvičáková Martina, Jačková Nikola

Publikováno v: SHS Web of Conferences, Vol 129, p 02014 (2021)

Research background: In terms of the development of information and communication technologies, smart mobile phones are booming. Consumers choose the most suitable smartphone concerning their needs and preferences. Consumers are not limited by the do

Externí odkaz: https://doaj.org/article/3ca2eacd9e944687868a1843baecfdfa

Comparison-based centrality measures

Autor: Luca Rendsburg, Damien Garreau

Publikováno v: International Journal of Data Science and Analytics
International Journal of Data Science and Analytics, 2021, 11, pp.243-259. ⟨10.1007/s41060-021-00254-4⟩
International Journal of Data Science and Analytics, Springer Verlag, 2021, 11, pp.243-259. ⟨10.1007/s41060-021-00254-4⟩

Recently, learning only from ordinal information of the type “itemxis closer to itemythan to itemz” has received increasing attention in the machine learning community. Such triplet comparisons are particularly well suited for learning from crowd

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8351afd4c25bc97c250da99f0c374293
https://hal.science/hal-03233015/document