Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 15 of 15 for “"Deep Uncertainty"”.
-
Multi-objective optimisation under deep uncertainty
… of different outcomes are also unknown (named deep uncertainty). Therefore, all the probability-based approaches (such as stochastic programming) are unable to address these problems. On the other hand, involving various stakeholders with different (possibly conflicting) criteria in the …
-
Addressing deep uncertainty in space system development through model-based adaptive design
… process. Therefore, the problem exhibits deep uncertainty. Deep uncertainty refers to the condition where the full range of outcomes of a decision is not knowable. A key strategy to mitigate deep uncertainty is to update decisions when new information is learned. NASA's current uncertainty …
-
Scenarios discovery : robust transportation policy analysis in Singapore using microscopic traffic simulator
… face a set of possible future states due to deep uncertainty in traffic demand. This thesis focuses on exploring the application of model-based decision support techniques which characterize a set of future states that represent the vulnerabilities of the proposed policy. Vulnerabilities here …
-
Exploring adaptive policy management and evaluation for improved water resources management in the face of uncertainty and complexity in South Africa
… management is bedevilled by the challenge of uncertainty, with increased risk of policy failure and/or unintended or negative policy outcomes. Moreover, there is increased policy management complexity emerging from related systems' interdependencies particularly between the water resources …
-
Surrogate learning for scoured bridges for capacity prediction with climate-scenario deep uncertainties
… expressed as a capacity tuple. To incorporate deep uncertainty arising from future IPCC climate-scenario trajectories, we employ a credal-set approach that yields upper and lower bounds on capacity predictions. The resulting method enables rapid, risk-informed evaluation of scour-critical …
-
Deep Learning-based Time Series Forecasting: Models and Applications
… multi-source complexity, dynamic heterogeneity, uncertainty, and nonlinearity, which brings tremendous challenges to the processing and prediction of time series data. As a cutting-edge approach of artificial intelligence, deep learning has efficient automatic feature extraction and robust …
-
Demand forecasting and decision making under uncertainty for long-term production planning in aviation industry
… The comparison is conducted in the situation of deep uncertainty when probability distributions are difficult to ascertain. The purpose of this comparison is to explore under what circumstances and assumptions each method results in different recommended alternatives and what these results mean …
-
Scenarios and futures in the governance of sustainable innovation pathways: the case of hydrogen energy
… and representation of diverse perspectives, deep uncertainty, and plural pathways.
-
Confusion in the Karnatic Capital: Fusion in Chennai, India
… the local debates that often expressed a deep uncertainty and ambiguity about the legitimacy of fusion. What can a contested musical practice reveal about the recent economic and cultural changes in contemporary urban India? Fusion is contested because its multiple and contradicting …
-
The integration of urban system science and physical design: dynamic simulation technologies for urban resilience
… for urban resilience is dealing with the deep uncertainty inherent in urban systems. While design/planning solutions are intended to manage or abate a wide array of negative impacts on the built environment, they many times fail to achieve their intended goals due to an inability to assess …
-
Embracing the Uncertain Future: Three Papers of Uncertainty in Analysis, Planning, and Policy-Making
Uncertainty is inseparable from long-range planning. In striving for just, equitable, and sustainable futures, we are always confronted with the limits of our own understanding. Looking far into the future, or even trying to properly assess the ground beneath our feet, often reveals much more about …
-
Climate, uncertainty, and the slippery measurement of Antarctic ice
This thesis presents a history of scientific uncertainty as told through several key episodes in the mapping, measuring, and modeling of Antarctica's ice sheets. Throughout, I trace the scientific practices constraining uncertainty—and the ways in which uncertainty has repeatedly escaped …
-
Resilience Through Infrastructure Asset Management Long-term Planning
… innovative methodologies tailored to manage uncertainty and complexity arising from climate change impacts to natural hazard frequencies. The application of Investment Logic Mapping (ILM) provided a novel qualitative lens that integrates societal well-being into infrastructure adaptation and …
-
Characterising Unplanned Logistics Operations in Urgent Settings
… they reconfigure their structures in response to uncertainty. Practical guidance for managing this unusual class of operations is severely lacking. To address this challenge, this thesis examines four fundamental issues in the management of these so-called ‘ad hoc logistics networks’. First, we …
-
The economics of climate change and the change of climate in economics: the implications for climate policy of adopting an evolutionary perspective
… problem (e.g. complexity, irreversibility, deep uncertainty, etc.) challenge core economic assumptions, mainstream economic theory does not appear as appropriately equipped to deal with this crucial issue. This makes that new assumptions and analyses are needed in economics in order to …