Incorporating climate change into risk assessment using grey mathematical programming.
Part of a special issue on climate change and variability, uncertainty, and decision making. Climate change presents problems for risk assessment procedures because of the difficulty associated with assigning a measure of probability to any future scenario. Grey systems theory, however, provides a...
| Publicado en: | Journal of Environmental Management Vol. 49; pp. 107 - 124 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
January 1997
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=506040165&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 506040165 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: January 1997 vid: 49 pid: 735 pub: Academic Press Inc. artinfo: ui: 506040165 10.1006/jema.1996.0119 ppf: 107 ppct: 17 formats: tig: atl: Incorporating climate change into risk assessment using grey mathematical programming. aug: au: Bass, Brad Huang, Guohe Russo, Joe su: Risk assessment Mathematical programming Environmental impact analysis Probability theory Climate change Climatology Meteorology statistical methods Uncertainty Economics sug: subj: Risk assessment Mathematical programming Environmental impact analysis Probability theory Climate change Climatology Meteorology statistical methods Uncertainty Economics ab: Part of a special issue on climate change and variability, uncertainty, and decision making. Climate change presents problems for risk assessment procedures because of the difficulty associated with assigning a measure of probability to any future scenario. Grey systems theory, however, provides an alternative method of quantifying uncertainty that is based on interval numbers. Grey systems theory within a mathematical programming model provides a means for working with uncertainties that are not amenable to stochastic or fuzzy quantification. The writers use an example of forestry and agricultural expansion in the Mackenzie River Basin to demonstrate grey mathematical programming in a hop, skip, and jump formulation, and their analysis demonstrates that a grey mathematical programming algorithm is useful for assessing the sensitivity of a decision to climatically sensitive parameters. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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