Uncertainty is a prominent feature of any major project. Yet, addressing this uncertainty and dealing with its impact is arguably one of the most remarkable topics of this period. Nevertheless, with the increased level of complexity and the emphasis on avoiding project cost overruns, there is an even higher emphasis on researchers to deliver an improved methodology for dealing with risk and unc...

implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. this research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. to take into account the uncertainties inherent in evaluation process, fuzzy logic i...

IT infrastructure implementation projects have to deal with many uncertainties and risks. A favourable implementation strategy therefore needs to reduce uncertainties and risks with regard to the IT infrastructure investment. The complexity in these type of decisions relates to the fact that different types of uncertainties and risks and quantitative and qualitative information need to be incor...

This paper addresses a closed-loop supply chain network design problem, in which two different supply chains compete on retail prices by defining a price-dependent demand function. So, the model is formulated in a bi-level stochastic form to demonstrate the Stackelberg competition and associated uncertainties more precisely. Moreover, it is capable of considering random disruptions in the leade...

Spatial uncertainty caused by large-scale variation in fluoride (F?) occurrence remains a setback for water supply authorities the F? belts of world. It is estimated that approximately 80 million people East African Rift Valley (EARV) regions and volcanic areas exhibit wide variety fluorosis symptoms due to drinking with F? concentrations higher than 1.5 mg/L (WHO guideline limit). In this stud...

The article reveals features of the ongoing transformations in field consulting, planning and design regional development face increasing uncertainties risks, primarily related to climate change biodiversity loss. It shows that very basis such work is significantly changing, as world-system becomes more complex, during transition from concept an “empty” world a “full” world. This includes empha...

Environmental epidemiology and health risk and impact assessment have long grappled with problems of uncertainty in data and their relationships. These uncertainties have become more challenging because of the complex, systemic nature of many of the risks. A clear framework defining and quantifying uncertainty is needed. Three dimensions characterise uncertainty: its nature, its location and it...

Construction projects inherently possess uncertainties, which represent risks and opportunities to contracting business entities. Their business success, therefore, is largely defined by how these uncertainties are managed from the planning and estimating to execution phases. Traditionally risks, in particular, have been dealt by converting them into the form of a contingency. Ironically, howev...

Various aspects of the role of uncertainty in greenhouse gas emission reduction policy are analyzed with the integrated assessment model FUND. FUND couples simple models of economy, climate, climate impacts, and emission abatement. Probability distribution functions are assumed for all major parameters in the model. Monte Carlo analyses are used to study the e!ects of parametric uncertainties. ...