An Integrated Probabilistic and Fuzzy Multi-objective Method for Hazardous Waste Risk Management
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.
KeywordsMembership Function Risk Management Fuzzy Logic Hazardous Waste Crisp Number
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