Document Detail


Fitting hierarchical holographic modeling into the theory of scenario structuring and a resulting refinement to the quantitative definition of risk.
MedLine Citation:
PMID:  11798118     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
A point of view is suggested from which the Hierarchical Holographic Modeling (HHM) method can be seen as one more method within the Theory of Scenario Structuring (TSS), which is that part of Quantitative Risk Assessment having to do with the task of identifying the set of risk scenarios. Seen in this way, HHM brings strongly to our attention the fact that different methods within TSS can result in different sets of risk scenarios for the same underlying problem. Although this is not a problem practically, it is a bit awkward conceptually from the standpoint of the "set of triplets" definition of risk, in which the scenario set is part of the definition. Accordingly, the present article suggests a refinement to the set of triplets definition, which removes the specific set of scenarios, found by any of the TSS methods, from the definition of risk and casts it, instead, as an approximation to the "true" set of scenarios that is native to the problem at hand and not affected by the TSS method used.
Authors:
S Kaplan; Y Y Haimes; B J Garrick
Related Documents :
11440058 - Bse as an organizational construction: a case study on the globalization of risk.
1938788 - Fear of aids related to development of obsessive-compulsive disorder in a child.
11697588 - Health of dentists in southern thailand.
1389588 - The risk management of infections.
16488908 - Pedigree-drawing with r and graphviz.
18672148 - Handling behavior problems in the practice setting.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Risk analysis : an official publication of the Society for Risk Analysis     Volume:  21     ISSN:  0272-4332     ISO Abbreviation:  Risk Anal.     Publication Date:  2001 Oct 
Date Detail:
Created Date:  2002-01-18     Completed Date:  2002-03-04     Revised Date:  2006-11-07    
Medline Journal Info:
Nlm Unique ID:  8109978     Medline TA:  Risk Anal     Country:  United States    
Other Details:
Languages:  eng     Pagination:  807-19     Citation Subset:  -    
Affiliation:
Center for Risk Management of Engineering Systems, University of Virginia, Charlottesville 22903, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Hypothetical fears and quantitative risk analysis.
Next Document:  Estimates of the health risk reductions associated with attainment of alternative particulate matter...