How to r environm e

Environmental risk assessment process in order to minimize nment. Unfortunately, often imprecise, so uncertainty is ass of data. Essentially, uncertainty in omness and incompleteness. uncertainties – probability the Probability theory is based functions to describe random Fuzzy logic uses member express vagueness in environm We discuss the best way to deal with uncertainties in the environmental field and give examples of probabilistic and fuzzy-logic approaches applied Trends in Analytical Chemistry, Vol. 27, No. 4, 2008 TrendsFax: +34 93 204 5904;ities is an important step in mitigating their impact on natural resources and in recre-ating the co-evolutionary process between human and natural components of the environment [1]. Decision makers of ecological policy and management require sound scientific information on the environmental risk associated with many different activities in order to arrive at and to justify their decisions [2], so there is a need to tainty has become a major concern in studies of environmental risk assessment [5]. In response, research is under way to explore techniques that can incorporate uncertainty and imprecision into the assessment process [3]. It has been found from the literature review that stochastic and fuzzy-set techniques have been commonly used to accommodate uncertainties associated with risk-modeling inputs and outputs. *Corresponding author