Modeling Disaster Uncertainty with Fuzzy Goal Programming

Terry R. Rakes, Virginia Tech
Josey Chacko, Virginia Tech
Jason K. Deane, Virginia Tech
Loren Rees, Virginia Tech

ABSTRACT
The uncertainty in the timing and severity of disaster events makes the long-term planning of mitigative and recovery actions not only very difficult but also very critical. Often planners use expected values for hazard occurrences, leaving communities vulnerable to worse-than-usual and even so-called "black swan" events.

This research models disasters in terms of their best-case, most-likely, and worst-case estimates. These values are then embedded in a fuzzy goal programming model to provide community planners and stakeholders with the ability to strategize for any range of events from best-case to worst case, as their community wishes to plan. Examples are given illustrating the modeling approach. .

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Updated 02/21/2015