Searched for: subject%3A%22decision%255C+support%255C+system%22
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Caldas Curley, Alexandre (author)
Multiple challenges affect the effectiveness of climate change mitigation and adaptation measures, such as accountability, intergenerational justice and developing countries’ increased participation in greenhouse gas emissions. The high complexity of information surrounding models’ assumptions, results, and scenarios related...
master thesis 2023
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Zhang, liang (author)
Trust is a fundamental component in human-AI relationships, serving as a critical element of user acceptance and satisfaction, particularly within the realm of Decision Support Systems (DSS). The technological advances in conversational user interfaces (CUIs) such as ChatGPT and digital assistants (e.g., Alexa) allow laypeople to interact with...
master thesis 2023
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Chen, Wen-Yu (author)
Transport decision-making determines people’s level of accessibility and deeply influences an individual’s access to social and economic opportunities and the quality of life. Socially vulnerable populations are highly dependent on yet often more likely to have less access to transport services and experience lower accessibility. This creates...
master thesis 2023
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de Ronde, Guus (author)
The banking sector is currently dealing with Anti-Money Laundering (AML) issues, with stricter legislation in Know Your Customer (AML) being the instigator. De Nederlandsche Bank is pursuing fully explainable and transparent models with a risk-based approach. Councyl provides such a model: Behavioural Artificial Intelligence Technology (BAIT)....
master thesis 2023
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Piekema, Annelotte (author)
Delayed maintenance is a major issue in Europe, including the Netherlands. The city of Amsterdam recently started a large-scale maintenance project to renew (renovate or replace) many bridges: an issue that other cities will have to face soon. Decision-making for bridge programming (deciding which bridges should be renewed simultaneously using...
master thesis 2023
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Robbemond, Vincent (author)
Advances in artificial intelligence and machine learning have led to a steep rise in the adoption of AI to augment or support human decision-making across domains.<br/>There has been an increasing body of work addressing the benefits of model interpretability and explanations to help end-users or other stakeholders decipher the inner workings of...
master thesis 2023
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Madadi, B. (author), Correia, Gonçalo (author)
This study proposes a hybrid deep-learning-metaheuristic framework with a bi-level architecture for road network design problems (NDPs). We train a graph neural network (GNN) to approximate the solution of the user equilibrium (UE) traffic assignment problem and use inferences made by the trained model to calculate fitness function...
journal article 2023
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Pannunzio, V. (author), Kleinsmann, M.S. (author), Snelders, H.M.J.J. (author), Raijmakers, J.H.M. (author)
Digital health technologies, powered by digital data, provide an opportunity to improve the efficacy and efficiency of health systems at large. However, little is known about different approaches to the use of data for digital health design, or about their possible relations to system-level dynamics. In this contribution, we identify four...
journal article 2023
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Jia, Z. (author), Nourian, Pirouz (author), Luscuere, P (author), Wagenaar, C. (author)
This study presents a systematic review of the literature on decision support for designing hospital layouts using spatial network analysis and/or simulation modelling. The review includes 102 articles, which are classified into five different categories concerning their layout-related challenges. Specifically, the categories include...
review 2023
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van der Zwaag, Marco (author), Wang, T. (author), Bakker, H.L.M. (author), van Nederveen, G.A. (author), Schuurman, A.C.B. (author), Bosma, Douwe (author)
Facing circular transition challenges, building circularity should be evaluated in the early design phase to reduce the risks of circular and environmental performance problems found in later project phases. However, due to the current design workflow, such practice is hindered because there is not enough information to evaluate building...
journal article 2023
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Nikaein, T. (author), López-Dekker, Paco (author), Steele-Dunne, S.C. (author), Kumar, V. (author), Huber, M. (author)
In this article, our aim is to estimate synthetic aperture radar (SAR) observables, such as backscatter in VV and VH polarizations, as well as the VH/VV ratio, cross ratio, and interferometric coherence in VV, from agricultural fields. In this study, we use the decision support system for agrotechnology transfer (DSSAT) crop-growth simulation...
journal article 2023
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Tran, Hoang Anh (author), Johansen, Tor Arne (author), Negenborn, R.R. (author)
Collision avoidance is one of the most challenging problems in developing a Maritime Autonomous Surface Ship. This paper proposes a pro-active collision avoidance algorithm for inland waterway ships. The algorithm addresses the problem of avoiding collisions with dynamic obstacles by applying a situation-based intention prediction for...
journal article 2023
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van der Zwaag, Marco (author)
The transition to a circular economy requires reducing waste and rework in construction projects. Thereby, the evaluation of building circularity in the early design phase is of great importance. However, due to the current design workflow, such practice is hindered because there is not enough information to evaluate building circularity in...
master thesis 2022
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van Eijck, Sabine (author), Nannes, Roel (author)
Negotiations in urban development projects can take a long time, going back and forward to the designer many times, even leading to stalemate situations. Requirements can be set intuitively, without knowing what the side effects of the constraints will be for the urban development. On top of that, approval of all stakeholders is needed to be...
master thesis 2022
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Paoletti, Lavinia (author)
The effect of using decision support systems in decision-making processes characterized by time pressure, uncertainty, and dynamism is still very limited and debated among researchers. By utilizing a case study that concerns the employment of a DSS to assist the procedures of intercepting fugitives undertaken by the Dutch National Police, this...
master thesis 2022
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van Hövell, Madeleine E.M.A. (author), Goverde, R.M.P. (author), Bešinović, Nikola (author), de Weerdt, M.M. (author)
Trains consist of one or more railway vehicles called rolling stock, which need interior and exterior cleaning and small technical checks on a daily basis. These services are executed at service locations (SLs). Scheduling rolling stock servicing tasks during an operational day is important to guarantee the fulfilment of servicing deadlines....
journal article 2022
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Gupta, A. (author), Basu, D. (author), Ghantasala, Ramya (author), Qiu, S. (author), Gadiraju, Ujwal (author)
Trust is an important component of human-AI relationships and plays a major role in shaping the reliance of users on online algorithmic decision support systems. With recent advances in natural language processing, text and voice-based conversational interfaces have provided users with new ways of interacting with such systems. Despite the...
conference paper 2022
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Erlei, Alexander (author), Das, Richeek (author), Meub, Lukas (author), Anand, A. (author), Gadiraju, Ujwal (author)
As algorithms are increasingly augmenting and substituting human decision-making, understanding how the introduction of computational agents changes the fundamentals of human behavior becomes vital. This pertains to not only users, but also those parties who face the consequences of an algorithmic decision. In a controlled experiment with 480...
conference paper 2022
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Eijkelkamp, Timo (author)
The Blue Nile is characterised by growing tensions between Ethiopia, Sudan and Egypt related to increasing demands for water and upcoming unilateral developments. Growing efforts towards basin wide cooperation from the international and scientific community have led to the development of a common decision support tool, the Nile Basin Decision...
master thesis 2021
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Emanuel Febrianto Prakoso, Emanuel (author)
This study addresses the truck rescheduling problem as the consequence of uncertain arrival time. It proposes an integrated system of predictive model powered by machine learning algorithm and exact optimization model such that it is distinct from most existing literatures in this domain. The uncertainty of truck arrival time is captured as...
master thesis 2021
Searched for: subject%3A%22decision%255C+support%255C+system%22
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