1.1 The Quantifiable Continuum of Uncertainty. Notice that once uncertainties are acknowledged as unquantified uncertainties, increased knowledge about the uncertainties will determine their position on the continuum.. .. .. 11 1.2 Typology for sources and degree of uncertainty. Adapted from Van Asselt's (2000) proposed typology for uncertainties in integrated assessment.. .. 12 1.3 Some potent...

During project execution, especially in a multi-project environment project activities are subject to risks that may cause delays or interruptions in the baseline schedules. This paper considers the resource constrained multi-project scheduling problem with generalized activity precedence relations requiring multi-skilled resources in a stochastic and dynamic environment present in the R&D depa...

| Uncertainty is very important in risk analysis. A natural way to describe this uncertainty is to describe a set of possible values of each unknown quantity (this set is usually an interval), plus any additional information that we may have about the probability of diierent values within this set. Traditional statistical techniques deal with the situations in which we have a complete informati...

Many environmental and risk management decisions are made jointly by technical experts and members of the public. Frequently, their task is to select from among management alternatives whose outcomes are subject to varying degrees of uncertainty. Although it is recognized that how this uncertainty is interpreted can significantly affect decision-making processes and choices, little research has...

Vitamin D has been a topic of much research interest and controversy, and evidence is mixed concerning its preventive effects and health benefits. The purpose of our study was to explore the decision-making strategies used by both primary care providers and community members surrounding vitamin D in relation to uncertainty management theory. We conducted semistructured interviews with primary c...

Project planning inevitably involves uncertainty. The basic input parameters for planning (time, cost and resources for each activity) are not deterministic and are affected by various sources of uncertainty. Moreover, there is a causal relationship between these uncertainty sources and project parameters; this causality is ignored in current state-of-the-art project planning techniques (such a...

This paper describes the development and application of the Stochastic Integrated Waste Management Simulator (SIWMS) model. SIWMS provides a detailed view of the environmental impacts and associated costs of municipal solid waste (MSW) management alternatives under conditions of uncertainty. The model follows a life-cycle inventory approach extended with compensatory systems to provide more equ...