Decision support for selecting a shortlist of electricity-saving options: A modified SMAA approach

Simple item page
dc.contributor.authorDurbach, I N
dc.contributor.authorDavis, S J
dc.date.accessioned2018-03-13T11:05:09Z
dc.date.available2018-03-13T11:05:09Z
dc.date.issued2013
dc.date.updated2016-01-18T06:43:27Z
dc.description.abstractThis paper describes an application providing decision support for generating a shortlist of promising electricity-saving options for households in South Africa. The decision problem is characterised by constraints on time and other resources, and by substantial uncertainty around the preferences for energy-related attributes and the performance of alternatives on those attributes. We use a stochastic multi-criteria acceptability analysis model to incorporate preferential uncertainties, and adapt this for use with quantiles and other "simplified" formats for representing uncertain attribute evaluations
dc.identifier.apacitationDurbach, I. N., & Davis, S. J. (2013). Decision support for selecting a shortlist of electricity-saving options: A modified SMAA approach. <i>Orion: Journal of the Operations Research of South Africa</i>, http://hdl.handle.net/11427/27646en_ZA
dc.identifier.chicagocitationDurbach, I N, and S J Davis "Decision support for selecting a shortlist of electricity-saving options: A modified SMAA approach." <i>Orion: Journal of the Operations Research of South Africa</i> (2013) http://hdl.handle.net/11427/27646en_ZA
dc.identifier.citationDurbach, I., & Davis, S. (2013). Decision support for selecting a shortlist of electricity-saving options: A modied SMAA approach. ORiON: The Journal of ORSSA, 28(2), 99-116.
dc.identifier.ris TY - Journal Article AU - Durbach, I N AU - Davis, S J AB - This paper describes an application providing decision support for generating a shortlist of promising electricity-saving options for households in South Africa. The decision problem is characterised by constraints on time and other resources, and by substantial uncertainty around the preferences for energy-related attributes and the performance of alternatives on those attributes. We use a stochastic multi-criteria acceptability analysis model to incorporate preferential uncertainties, and adapt this for use with quantiles and other "simplified" formats for representing uncertain attribute evaluations DA - 2013 DB - OpenUCT DP - University of Cape Town J1 - Orion: Journal of the Operations Research of South Africa LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - Decision support for selecting a shortlist of electricity-saving options: A modified SMAA approach TI - Decision support for selecting a shortlist of electricity-saving options: A modified SMAA approach UR - http://hdl.handle.net/11427/27646 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/27646
dc.identifier.vancouvercitationDurbach IN, Davis SJ. Decision support for selecting a shortlist of electricity-saving options: A modified SMAA approach. Orion: Journal of the Operations Research of South Africa. 2013; http://hdl.handle.net/11427/27646.en_ZA
dc.language.isoeng
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rights.urihttp://orion.journals.ac.za/pub
dc.sourceOrion: Journal of the Operations Research of South Africa
dc.source.urihttp://orion.journals.ac.za/pub
dc.titleDecision support for selecting a shortlist of electricity-saving options: A modified SMAA approach
dc.typeJournal Article
uct.type.filetypeText
uct.type.filetypeImage
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Durbach_Decision_support_for_2013.pdf
Size:
1.15 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.72 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Journal Articles