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Reconciling Uncertain Costs and Benefits in Bayes Nets for Invasive Species Management
Author(s) -
Burgman M. A.,
Wintle B. A.,
Thompson C. A.,
Moilanen A.,
Runge M. C.,
BenHaim Yakov
Publication year - 2010
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.2009.01273.x
Subject(s) - bayes' theorem , probabilistic logic , sensitivity (control systems) , bayesian network , computer science , bayesian probability , risk analysis (engineering) , operations research , machine learning , artificial intelligence , engineering , business , electronic engineering
Bayes nets are used increasingly to characterize environmental systems and formalize probabilistic reasoning to support decision making. These networks treat probabilities as exact quantities. Sensitivity analysis can be used to evaluate the importance of assumptions and parameter estimates. Here, we outline an application of info‐gap theory to Bayes nets that evaluates the sensitivity of decisions to possibly large errors in the underlying probability estimates and utilities. We apply it to an example of management and eradication of Red Imported Fire Ants in Southern Queensland, Australia and show how changes in management decisions can be justified when uncertainty is considered.