Abstract:
This paper presents a fuzzy exposure model which deals with the uncertainties involved in analysing prolonged (chronic) chemical exposure for humans in risk assessment. The imprecise input information for the exposure model is expressed as fuzzy sets using linguistic variables such as high, low and constant. The risk assessor can extend these fuzzy sets with respect to the data availability. The result obtained from the calculations is a fuzzy number that indicates the life average daily exposure (LADE) to human beings. A case study is illustrated to present the methodology
