This paper argues that all current project risk management processes induce a restricted focus on the management of project uncertainty. In part this is because the term ‘risk’ encourages a threat perspective. In part this is because the term ‘risk’ has become associated with ‘events’ rather than more general sources of significant uncertainty. The paper discusses the reasons for this view, and...

Wildlife managers often make decisions under considerable uncertainty. In the most extreme case, a complete lack of data leads to uncertainty that is unquantifiable. Information-gap decision theory deals with assessing management decisions under extreme uncertainty, but it is not widely used in wildlife management. So too, robust population management methods were developed to deal with uncerta...

The effect of environmental uncertainty in research on organizational structure has received considerable attention. However, the capability of knowledge management in helping organizational structures deal with uncertainty has not been examined. Thus, this study builds and tests an integrated model to investigate the relationship among environmental uncertainty, knowledge management capability...

Current mobile community information systems handle vast amounts of multimedia, various operations on multimedia processing, and diverse user communities using different mobile devices. Imprecise or even false GPS information, users’ false semantic description about a multimedia artifact, or different interpretations of multimedia content in different user communities lead to data uncertainty. ...

Most natural resource management is conducted under conditions of considerable uncertainty; rarely do we have 100% confidence that management actions will deliver the predicted outcome. Adaptive management is a scientific approach to management that explicitly deals with this uncertainty. It involves predicting management outcomes, collecting data to test those predictions (monitoring), revisin...

Uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. The objective of this study is to develop and apply a Bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in Zidasht catchment, Iran....

Abstract – Distributed generation (DG) technology is known as an efficient solution for applying in distribution system planning (DSP) problems. Load growth uncertainty associated with distribution network is a significant source of uncertainty which highly affects optimal management of DGs. In order to handle this problem, a novel model is proposed in this paper based on DG solution, consideri...