Uncertainty management theory was applied in the present study to offer one theoretical explanation for how individuals use the World Wide Web to acquire health information and to help better understand the implications of the Web for information seeking. The diversity of information sources available on the Web and potential to exert some control over the depth and breadth of one's information...

New product development has changed signi®cantly over the last decade and management control systems have played an important role in this transformation. This study draws on Galbraith's concept of uncertainty and investigates the relationship between project uncertainty, product strategy and management control systems. It also explores whether these systems help or, as argued in the innovation...

Effective uncertainty quantification (UQ) begins at the earliest phase in the design phase for which there are adequate models and continues tightly integrated to the analysis and design cycles as the refinement of the models and the fidelity of the tools increase. It is essential that uncertainty quantification strategies provide objective information to support the processes of identifying, a...

Pervasive computing is typically highly sensor-driven, but sensors provide only evidence of fact rather than facts themselves. The uncertainty of sensor data will affect each component in a pervasive computing system, which may decrease the quality of its provided services. We provide a general model to represent semantics of uncertainty in different levels (e.g., sensor, lower-level context an...

Estimating uncertainty is important to improving the safety of AI systems. Recently baseline tasks and metrics have been defined and several practical methods for estimating uncertainty developed. However, these approaches attempt to model distributional uncertainty either implicitly through model uncertainty or as data uncertainty. This work proposes a new framework for modeling predictive unc...

The large-scale integration of renewable energy sources (RESs) brings huge challenges to the power system. A cost-effective reserve deployment and uncertainty pricing mechanism are critical deal with variability RES. To this end, paper proposes a novel locational marginal in day-ahead market for managing uncertainties from Firstly, an improved multi-ellipsoidal set (IMEUS) considering temporal ...

In this short discussion, we point out that it is apparently as easy to be fooled by robustness as it is to be fooled by randomness. Our objective is to bring to the attention of applied ecologists that radius-of-stability robustness models are models of local robustness. As such, these models are utterly unsuitable for the treatment/management of a severe uncertainty characterized by a vast un...

—Many fishery management decisions continue to be guided by science only through “best guess” interpretation of assessment information and deterministic models of fisheries and food webs; until very recently this was true of nearly all fishery management in the Great Lakes. However, fishery management decisions can be improved by formally considering uncertainty when evaluating management optio...