Robust decision making (RDM) Page 35 Chapter 2 Robust Decision Making (RDM) RJ Lempert
Abstract • The quest for predictions—and a reliance on the analytical methods that require …

Long-term water planning is increasingly challenging, since hydrologic conditions appear to
be changing from the recently observed past and water needs in many locales are highly …

Within the modeling and simulation community, simulation-based optimization has often
been successfully used to improve productivity and business processes. However, the …

To support equitable adaptation planning, quantitative assessments should consider the
fairness of the distribution of outcomes to different people. What constitutes a fair distribution …

The proliferation of pollutants affects the world's population, mainly those who live in large
cities. Neurological and cardiovascular dysfunctions have a correlation with air particulate …

As climate change is unlikely to follow a linear path, climate policies should anticipate varied
outcomes and be flexibly responsive. The case for such “robust policy” is compelling …

Infrastructure is at risk to climate uncertainty due to a combination of long life spans,
complexity of the systems it is embedded in, and the high investment costs often necessary …

Poor and coastal regions are increasingly at risk from the effects of climate change. These
risks are accompanied by a high level of uncertainty, which is also called deep uncertainty …

RESUMO A avaliação de decisões estratégicas em condições de profunda incerteza é um
desafio significativo para as organizações. Em condições onde informação disponível …