• DocumentCode
    344344
  • Title

    Towards a better understanding of fuzzy sets applied to environmental science

  • Author

    Ghomshei, Mory M. ; Meech, John A.

  • Author_Institution
    Dept. of Min. & Miner. Process. Eng., British Columbia Univ., Vancouver, BC, Canada
  • Volume
    1
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    519
  • Abstract
    The fuzzy set of a concept is defined by the distribution function of the degree of belief in a certain qualitative parameter, over a range of variation in a quantitative or less-qualitative parameter. The concept may be expressed with different scaling parameters and each parameter on its own, is not necessarily unique. Thus the form of a fuzzy set depends on the choice of scale. In the environmental field, regulators, health authorities, epidemiologists, politicians, environmentalists, engineers and the general public often have different definitions for a concept such as contamination. The only term which is more or less unequivocally understood by all interested groups is the final “risk”. Proper definition and scaling of fuzzy sets can provide a common language through which experts from different disciplines can communicate through the entire process of risk assessment. The uncertainty of the input information is propagated in a fuzzy approach and yet the system output will remain fuzzy which can then be translated into either quantitative risk values or qualitative linguistic terms
  • Keywords
    ecology; environmental factors; fuzzy set theory; risk management; contamination; degree of belief; environmental science; fuzzy set; risk assessment; scaling; Contamination; Distribution functions; Fuzzy sets; Fuzzy systems; Law; Legal factors; Minerals; Pollution; Regulators; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-5489-3
  • Type

    conf

  • DOI
    10.1109/IPMM.1999.792533
  • Filename
    792533