Literature DB >> 11798118

Fitting hierarchical holographic modeling into the theory of scenario structuring and a resulting refinement to the quantitative definition of risk.

S Kaplan1, Y Y Haimes, B J Garrick.   

Abstract

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.

Year:  2001        PMID: 11798118     DOI: 10.1111/0272-4332.215153

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

1.  From chemical risk assessment to environmental resources management: the challenge for mining.

Authors:  Nikolaos Voulvoulis; John W F Skolout; Christopher J Oates; Jane A Plant
Journal:  Environ Sci Pollut Res Int       Date:  2013-05-21       Impact factor: 4.223

2.  System Interdependency Modeling in the Design of Prognostic and Health Management Systems in Smart Manufacturing.

Authors:  M L Malinowski; P A Beling; Y Y Haimes; A LaViers; J A Marvel; B A Weiss
Journal:  Proc Annu Conf Progn Health Manag Soc       Date:  2015

3.  Dynamic cyber risk estimation with competitive quantile autoregression.

Authors:  Raisa Dzhamtyrova; Carsten Maple
Journal:  Data Min Knowl Discov       Date:  2022-01-04       Impact factor: 3.670

4.  Quantifying the impact of environment factors on the risk of medical responders' stress-related absenteeism.

Authors:  Mario P Brito; Zhiyin Chen; James Wise; Simon Mortimore
Journal:  Risk Anal       Date:  2022-03-14       Impact factor: 4.302

  4 in total

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