Many objective robust decision making for complex environmental systems undergoing change
This paper introduces many objective robust decision making (MORDM). MORDM combines
concepts and methods from many objective evolutionary optimization and robust decision …
concepts and methods from many objective evolutionary optimization and robust decision …
Thinking inside the box: A participatory, computer-assisted approach to scenario discovery
BP Bryant, RJ Lempert - Technological Forecasting and Social Change, 2010 - Elsevier
Scenarios provide a commonly used and intuitively appealing means to communicate and
characterize uncertainty in many decision support applications, but can fall short of their …
characterize uncertainty in many decision support applications, but can fall short of their …
Robust climate policies under uncertainty: A comparison of robust decision making and info‐gap methods
This study compares two widely used approaches for robustness analysis of decision
problems: the info‐gap method originally developed by Ben‐Haim and the robust decision …
problems: the info‐gap method originally developed by Ben‐Haim and the robust decision …
Climate prediction: a limit to adaptation
Projections of future climate and its impacts on society and the environment have been
crucial for the emergence of climate change as a global problem for public policy and …
crucial for the emergence of climate change as a global problem for public policy and …
A Delphi-based risk analysis—Identifying and assessing future challenges for supply chain security in a multi-stakeholder environment
C Markmann, IL Darkow, H Von Der Gracht - … Forecasting and Social …, 2013 - Elsevier
Identifying and assessing the potential impact and likelihood of future events, which might
evolve into risks, are a prerequisite to identify future security challenges. In particular, risks …
evolve into risks, are a prerequisite to identify future security challenges. In particular, risks …
Agreeing on robust decisions: new processes for decision making under deep uncertainty
Investment decision making is already difficult for any diverse group of actors with different
priorities and views. But the presence of deep uncertainties linked to climate change and …
priorities and views. But the presence of deep uncertainties linked to climate change and …
Many-objective robust decision making for managing an ecosystem with a deeply uncertain threshold response
Managing ecosystems with deeply uncertain threshold responses and multiple decision
makers poses nontrivial decision analytical challenges. The problem is imbued with deep …
makers poses nontrivial decision analytical challenges. The problem is imbued with deep …
Scenarios that illuminate vulnerabilities and robust responses
R Lempert - Climatic change, 2013 - Springer
Scenarios exist so that decision makers and those who provide them with information can
make statements about the future that claim less confidence than do predictions, projections …
make statements about the future that claim less confidence than do predictions, projections …
Synthetic drought scenario generation to support bottom-up water supply vulnerability assessments
Exploratory simulation allows analysts to discover scenarios in which existing or planned
water supplies may fail to meet stakeholder objectives. These robustness assessments rely …
water supplies may fail to meet stakeholder objectives. These robustness assessments rely …
Decision science can help address the challenges of long‐term planning in the Colorado River Basin
R Smith, E Zagona, J Kasprzyk… - JAWRA Journal of …, 2022 - Wiley Online Library
Abstract “Deep uncertainty” is a term that describes planning contexts in which it is
impossible to determine the likelihood of any given set of future conditions, there are …
impossible to determine the likelihood of any given set of future conditions, there are …