Hierarchical partial order ranking

Environmental Pollution
Lars Carlsen

Abstract

Assessing the potential impact on environmental and human health from the production and use of chemicals or from polluted sites involves a multi-criteria evaluation scheme. A priori several parameters are to address, e.g., production tonnage, specific release scenarios, geographical and site-specific factors in addition to various substance dependent parameters. Further socio-economic factors may be taken into consideration. The number of parameters to be included may well appear to be prohibitive for developing a sensible model. The study introduces hierarchical partial order ranking (HPOR) that remedies this problem. By HPOR the original parameters are initially grouped based on their mutual connection and a set of meta-descriptors is derived representing the ranking corresponding to the single groups of descriptors, respectively. A second partial order ranking is carried out based on the meta-descriptors, the final ranking being disclosed though average ranks. An illustrative example on the prioritization of polluted sites is given.

References

Aug 14, 2001·Journal of Chemical Information and Computer Sciences·R BrüggemannC E Steinberg
Oct 16, 2002·Journal of Chemical Information and Computer Sciences·Dorte LercheOle John Nielsen
Sep 23, 2003·Journal of Chemical Information and Computer Sciences·Dorte LercheRainer Brüggemann
Mar 23, 2004·Journal of Chemical Information and Computer Sciences·Rainer BrüggemannLars Carlsen
Apr 29, 2006·SAR and QSAR in Environmental Research·L Carlsen

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Citations

Jan 6, 2010·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Lawrence D Harder, Marcelo A Aizen
May 27, 2009·International Journal of Molecular Sciences·Lars Carlsen
May 13, 2011·Journal of Hazardous Materials·Eran TzfatiAmos Bick

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