Print Email Facebook Twitter Trustworthy and Explainable Artificial Neural Networks for Choice Behaviour Analysis Title Trustworthy and Explainable Artificial Neural Networks for Choice Behaviour Analysis Author Alwosheel, A.S.A. (TU Delft Transport and Logistics) Contributor Chorus, C.G. (promotor) van Cranenburgh, S. (copromotor) Degree granting institution Delft University of Technology Date 2020-07-10 Abstract For decades, Discrete Choice Models (DCMs) have been used to describe, understand and predict human choice behaviour in a wide variety of contexts including transportation, healthcare and marketing. The field of discrete choice modelling is firmly rooted in economic theory, and most DCMs are based on the assumption that decision-makers, when asked to select an alternative among a set of presented alternatives, make deliberate trade-offs by employing a stable function to assign utility to each alternative, and then select the alternative with thehighest utility. To reference this document use: https://doi.org/10.4233/uuid:82fcb7b1-153c-4f6f-9d8c-bbdc46cc2d4e Publisher TRAIL Research School ISBN 978-90-5584-268-1 Series TRAIL Thesis Series, T2020/11 Bibliographical note TRAIL Thesis Series no. T2020/11, the Netherlands Research School TRAIL Part of collection Institutional Repository Document type doctoral thesis Rights © 2020 A.S.A. Alwosheel Files PDF Alwosheel_PhD_ThesisFinal.pdf 4.81 MB PDF Alwosheel_PhD_PropositionsFianl.pdf 106.78 KB Close viewer /islandora/object/uuid:82fcb7b1-153c-4f6f-9d8c-bbdc46cc2d4e/datastream/OBJ1/view