• An aggregation approach for solving the non-linear fractional equality Knapsack problem 

      Yazidi, Anis; Jonassen, Tore Møller; Herrera-Viedma, Enrique (Expert systems with applications;Volume 110, 15 November 2018, Journal article; Peer reviewed, 2018-06-15)
      In this paper, we present an optimal, efficient and yet simple solution to a class of the deterministic non-linear fractional equality knapsack (NEFK) problem — a substantial resource allocation problem. The solution is shown ...
    • Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth 

      Yazidi, Anis; Hammer, Hugo Lewi; Samouylov, Konstantin; Herrera-Viedma, Enrique (IEEE Transactions on Cybernetics;Date of Publication 06 January 2020, Journal article; Peer reviewed, 2020)
      Sensor fusion has attracted a lot of research attention during the few last years. Recently, a new research direction has emerged dealing with sensor fusion without knowledge of the ground truth. In this article, we present ...
    • A new methodology for identifying unreliable sensors in data fusion 

      Yazidi, Anis; Herrera-Viedma, Enrique (Knowledge-Based Systems;Volume 136, Journal article; Peer reviewed, 2017-11-15)
      Sensor fusion is a fundamental research topic that has received significant attention in the literature. An important body of research has focused on assessing the reliability of a sensor or more generally an “information ...
    • A personality-aware group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Information Sciences;Volume 595, May 2022, Peer reviewed; Journal article, 2022-02-25)
      Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ...