Title :
Fuzzy exposure model
Author :
Rajkumar, T. ; Guesgen, Hans W.
Author_Institution :
Dept. of Comput. Sci., Auckland Univ., New Zealand
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
Keywords :
fuzzy logic; fuzzy set theory; health hazards; pollution; probability; risk management; fuzzy exposure model; fuzzy number; fuzzy sets; human beings; life average daily exposure; linguistic variables; prolonged chronic chemical exposure; risk assessment; risk assessor; Chemical analysis; Computer science; Dermis; Fuzzy sets; Humans; Risk analysis; Risk management; Sampling methods; Testing; Uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.571226
