Beilstein J. Nanotechnol.2015,6, 2449–2451, doi:10.3762/bjnano.6.253
analysis techniques (e.g., multicriteria decision analysis, value of information, weightofevidence, and portfolio decision analysis) that are potentially capable of assessing and classifying the multitude of available nanomaterial data. Such an approach can serve as the basis for both establich a
Beilstein J. Nanotechnol.2015,6, 1594–1600, doi:10.3762/bjnano.6.162
techniques of multicriteria decision analysis (MCDA), value of information (VOI), weightofevidence (WOE), and portfolio decision analysis (PDA) can bridge the gap from current data collection and visualization efforts to present information relevant to specific decision needs. Decision analytic and
Bayesian models could be a natural extension of mechanistic and statistical models for nanoinformatics practitioners to master in solving complex nanotechnology challenges.
Keywords: decision analysis; nanoinformatics; policy; portfolio analysis; risk assessment; value of information; weightofevidence
, we review the use of multicriteria decision analysis (MCDA), value of information (VOI), weightofevidence (WOE), and portfolio decision analysis (PDA) from the perspective of nanoinformatics. We propose that this set of decision analytic methods should be explicitly developed as the next step to