Investigators from San Diego State University Have Reported New Data on Risk Management (Disaster Risk Planning With Fuzzy Goal Programming): Risk Management

2021 NOV 25 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Current study results on Risk Management have been published. According to news reporting originating in San Diego, California, by NewsRx journalists, research stated, “The uncertainty in the timing and severity of disaster events makes the long-term planning of mitigation and recovery actions both critical and extremely difficult. Planners often use expected values for hazard occurrences, leaving communities vulnerable to worse-than-usual and even so-called ‘black swan’ events.”

The news reporters obtained a quote from the research from San Diego State University, “This research models disasters in terms of their best-case, most-likely, and worst-case damage 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 by adjusting goal weights.”

According to the news reporters, the research concluded: “Examples are given illustrating the modeling approach, and an analysis is provided to illustrate how planners might use the model as a planning tool.”

This research has been peer-reviewed.

For more information on this research see: Disaster Risk Planning With Fuzzy Goal Programming. Risk Analysis, 2021. Risk Analysis can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - http://www.wiley.com/; Risk Analysis - http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924)

Our news correspondents report that additional information may be obtained by contacting David M. Goldberg, San Diego State University, Dept. of Management Information Systems, San Diego, CA 92182, United States. Additional authors for this research include Terry R. Rakes, Jason K. Deane and Loren P. Rees.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1111/risa.13849. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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