SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement
By J. Weiss, David J. Weiss. 2008
476 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/89e0dcd0d2966ea69584e923523c5c7b27b123e3
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In Control and Systems Engineering
- G. Herath
- Peter M. Todd
- Angelo Basile
- G. McClelland
- Shuo-Yan Chou
- Jafar Rezaei
- J. Seppälä
- Pekka Leskinen
Citations in the corpus
- Current Trends and Future Developments on (Bio-) Membranes (2020, methodology): “…the MCA framework, a participatory model was utilized (simple multi-attribute rating technique exploiting ranks weighting technique, SMARTER) (Edwards and Barron, 1994), which was based on a survey for capturing the judgments of decision makers in Greece (13 wastewater treatment plant…”
- Best-worst multi-criteria decision-making method (2015, methodology): “We are developing some more (business, and psychological) experiments to study other features of BWM such as the behavioral aspects [44] of the BWM, and comparing its underlying behavioral principles to some other MCDM methods that have similarities to BWM, such as swing weighting method [45], SMART”
- A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach (2008, methodology): “SMART uses the simple additive weight (SAW) method to obtain total values for individual alternatives, helping to rank them according to order of preference (Edwards, 1977; Edwards & Barron, 1994).”
- 2.3.1 Using the Swing Weight Matrix to Weight Multiple Objectives (2009, methodology): “This error is the reason why SMART is not intellectually acceptable… (Edwards and Barron, 1994) • (The analyst) must take into consideration the ranges of the attributes…Paying attention to the ranges in attributes in assigning weights is crucial…to often we are tempted to assign weights on the…”
- Escaping the tyranny of choice: when fewer attributes make choice easier (2007, methodology): “ordered centroid (or ROC) weights, as recommended by Edwards and Barron (1994) .3”
- Preference programming for robust portfolio modeling and project selection (2007, background): “Dominance between two portfolios can be readily checked by using the bounds (5) and (6) and by noting that (i) projects that are included in both portfolios contribute equally to them both and (ii) project scores may vary across the full range of their respective intervals, regardless of what the ot”
- Ranking irregularities when evaluating alternatives by using some ELECTRE methods (2008, unknown): “The roots to this type of analysis can be found in [Edwards, 1977], [Edwards and Barron, 1994], [Edwards and Newman, 1986], and [Dyer and Sarin, 1979].”
- Impact of normalisation, elicitation technique and background information on panel weighting results in life cycle assessment (2014, methodology): “Simple Multi-Attribute Rating Technique (SMART) (Edwards 1971) and modifications of it called SMART using SWINGS and SMART Exploiting Ranks (Edwards and Barron 1994) can be based on the ratio scale, where one of the items is used as referencewhen evaluating the other itemswith respect to the…”
- A critical review of multi-criteria decision making methods with special reference to forest management and planning (2009, background): “4 See Gardiner and Edwards (1975) and Edwards and Barron (1994) formethodological”