Discovering user preferences using Dempster-Shafer theory

DOI10.1016/j.fss.2015.06.004zbMath1375.91065OpenAlexW567618535MaRDI QIDQ1677020

Luis J. Rodríguez-Muñiz, Luigi Troiano, Irene Díaz

Publication date: 10 November 2017

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2015.06.004

zbMATH Keywords

Dempster-Shafer theoryrecommendation systembeliefplausibilityuser preferenceslattice mining

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Individual preferences (91B08)

Related Items (1)

Two-probabilities focused combination in recommender systems

Cites Work

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• Fuzzy logic methods in recommender systems
• A survey of the theory of coherent lower previsions
• Classic works on the Dempster-Shafer theory of belief functions
• Hedging in the Combination of Evidence
• Upper and Lower Probabilities Induced by a Multivalued Mapping

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