• DocumentCode
    306397
  • Title

    Fuzzy exposure model

  • Author

    Rajkumar, T. ; Guesgen, Hans W.

  • Author_Institution
    Dept. of Comput. Sci., Auckland Univ., New Zealand
  • Volume
    2
  • fYear
    1996
  • fDate
    14-17 Oct 1996
  • Firstpage
    1051
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1996., IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-3280-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.1996.571226
  • Filename
    571226