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An Integrated Probabilistic and Fuzzy Multi-objective Method for Hazardous Waste Risk Management

  • Timothy J. Ross
Conference paper

Abstract

Multi-objective decision making involves the selection of alternatives where the simultaneous satisfaction of two-or-more objectives dictates the decision outcome. Using this idea, risk assessment and risk management, although separate issues, can be combined in a single framework where decisions about remediation to reduce risks can be made based on an integrated approach where probabilistic methods and fuzzy methods are used to characterize both random and non-random forms of uncertainty. The ability of fuzzy logic to integrate numeric data like costs and risk, with linguistic knowledge such as political and economic sustainability is shown to be a powerful paradigm in the risk management area. A case study based on a US government facility involving a hazardous waste is used to illustrate features of the method.

Keywords

Membership Function Risk Management Fuzzy Logic Hazardous Waste Crisp Number 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag London 1996

Authors and Affiliations

  • Timothy J. Ross
    • 1
  1. 1.Department of Civil EngineeringUniversity of New MexicoAlbuquerqueUSA

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