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https://www.sciencedirect.com/science/article/pii/S1364815214002813
Therefore, when moving from deterministic to uncertainty-specific environmental decision support models, it is important to evaluate the extent of uncertainties in a way that is justified and transparent, and to consider carefully the assumptions behind both the decision-support model and the models that are used to provide inputs to it, to make sure that the variables in the models are compatible.Cited by: 302
https://i2insights.org/2019/06/04/economics-lessons-for-managing-uncertainty/
Managing uncertainty in decision making: What can we learn from economics? June 4, 2019 December 31, 2019 Community Member Decision support , Methods , Theories , Unknowns Author - Emily Lancsar , Author - Siobhan Bourke , Modelling , Partner - PopulationHealthXchange , Risk , Uncertainty
https://www.researchgate.net/publication/266574955_Special_issue_Managing_uncertainty_in_decision_support_models_MUDSM_2004_Selected_papers_based_on_the_presentations_at_the_15th_mini_EURO_conference_Coimbra_Portugal_September_22-24_2004
Special issue: Managing uncertainty in decision support models (MUDSM 2004). Selected papers based on the presentations at the 15th mini EURO conference, …
https://www.deepdyve.com/lp/elsevier/managing-uncertainty-in-decision-support-models-JNLsMk4nyE
Sep 16, 2007 · Managing uncertainty in decision support models Managing uncertainty in decision support models Antunes, Carlos Henggeler 2007-09-16 00:00:00 The formal models used in Operational Research/Decision Aiding (OR/DA) interventions are subject to many sources of uncertainty, imprecision, and ignorance (see Roy, 1989; French, 1995 ). Indeed, it is well known that …
https://core.ac.uk/download/pdf/144006294.pdf
managing uncertainty in decision support models explicitly addresses the sources and types of uncertainty arising in decision problems and provides methodolo-gical tools and adaptive frameworks aimed at helping to reach robust decisions in decision support processes. Although this often leads to models that are more
https://www.informs.org/Meetings-Conferences/INFORMS-Conference-Calendar/Past-Events/15th-Mini-EURO-Conference-quot-Managing-Uncertainty-in-Decision-Support-Models-quot
Sep 22, 2004 · Contributions from decision theory, fuzzy sets, rough sets, risk analysis, stochastic programming, sensitivity analysis, robustness analysis, interval programming, inexact programming, etc. are expected both from methodological and application perspectives, thus paving the way for a cross-fertilization between distinct ways to incorporate uncertainty, imprecision and risk in decision support models.
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