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

Journal Article

2013

Permanent link to this Item
http://hdl.handle.net/11427/27646
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Durbach_Decision_support_for_2013.pdf (1.15 MB)
Authors
Durbach, I N
Davis, S J
Journal Title

Orion: Journal of the Operations Research of South Africa

Link to Journal
http://orion.journals.ac.za/pub
Journal ISSN
Volume Title
Publisher
Publisher

University of Cape Town

Department
Department of Statistical Sciences
Faculty
Faculty of Science
License

http://orion.journals.ac.za/pub

Series
Abstract
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
Description

Reference:

Durbach, 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.

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