Environmental risk assessment is an essential element in any decision-making
process in order to minimize the effects of human activities on the environment.
Unfortunately, often environmental data tends to be vague and
imprecise, so uncertainty is associated with any study related with these kind
Essentially, uncertainty in risk assessment may have two origins – randomness
and incompleteness. There are two main ways to deal with these
uncertainties – probability theory and fuzzy logic.
Probability theory is based on a stochastic approach, using probability
functions to describe random variability in environmental parameters.
Fuzzy logic uses membership functions and linguistic parameters to
express vagueness in environmental issues.
We discuss the best way to deal with uncertainties in the environmental
field and give examples of probabilistic and fuzzy-logic approaches applied
to environmental risk assessment.
CitacióDarbra, R.M.; Eljarrat, E.; Barceló, D. How to measure uncertainties in environmental risk assassment. "TrAC: trends in analytical chemistry", 01 Abril 2008, vol. 27, núm. 4, p. 377-385.