Application of Optimization Theory in Environmental Risk Assessment and Decision Analysis. M. A. Randall, University of New Mexico, School of Public Administration, 3rd Fl., Social Sciences Bldg., Albuquerque, NM
Various methods of linear and nonlinear mathematical models are being increasingly utilized to augment decision-making processes. The application of such models can be especially useful in environmental decision making, which frequently involves numerous interested parties such as regulatory and other government agencies, responsible parties, private individuals and groups, and environmental advocates. Multiobjective optimization provides an approach which allows consideration of various interested parties according to the subjective rating of priorities. Among the attributes taken into consideration are risk assessment and risk perception. Specific application of optimization theory to a specific environmental remediation case study illustrates how the criteria of each participant in the decision-making process can be quantified, yielding a more rational, informed approach to the decision-making process. Models such as these are particularly useful in addressing the interests of increasingly pluralist. My faculty advisors: M.A. Rivera, Ph.D., A. Ghassemi, Ph.D., F. Szidarovszky, Ph.D.
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