Weight approximations in multi-attribute decision models
By R. Roberts, Paul Goodwin. 2002
227 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/274cf1fae697f80b02b63e8cca504ec023b2ea27
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Kwai-Sang Chin
- Dongling Xu
- Irik Z. Mukhametzyanov
- Jamie P. Monat
- Ying Luo
- Mohammad Khoveyni
- Dragan Pamucar
- Sinisa Sremac
In Management Science and Operations Research
- Dongling Xu
- Jianbo Yang
- Kwai-Sang Chin
- Irik Z. Mukhametzyanov
- Yingming Wang
- Gary Ka Kwai Poon
- Željko Stević
- Jamie P. Monat
Citations in the corpus
- Failure mode and effects analysis using a group-based evidential reasoning approach (2009, methodology): “The two different sets of weights can be determined by using direct rating [36,37], point allocation [36,37], eigenvector method [38], linear programming techniques for multidimensional analysis of preferences (LINMAP) [39], or Delphi method [40], etc.”
- Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making (2010, methodology): “The subjective methods determine the weights of attributes in terms of the decision maker’s (DM’s) subjective preference information, including the direct rating (DR) method [1–4], point allocation (PA) method [5,3], ranking ordering method of attributes [6–9,3,10,11], eigenvector method [12], LINMA”
- A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) (2018, methodology): “The comparison was based on the scale [ 1, 9 ] .”
- A three-stage hybrid approach for weight assignment in MADM ☆ (2017, background): “Roberts and Goodwin [43] showed how to obtain rank order distribution weights.”
- The benefits of global scaling in multi-criteria decision analysis (2009, background): “Von Nitzsch and Weber (1993) developed a Range Sensitivity Index (RSI) to measure the empirically observed adjustment of weights relative to the adjustment prescribed by the normative model.”
- Specific character of objective methods for determining weights of criteria in MCDM problems: Entropy, CRITIC and SD (2021, methodology): “…(DR) (Goodwin & Wright, 1998; Roberts & Goodwin, 2002; Von Winterfeldt & Edwards, 1986), the point allocation (PA) method (Doyle et al., 1997; Roberts & Goodwin, 2002), the ranking method (Ahn & Park, 2008; Barron, 1992, 1996; Roberts & Goodwin, 2002; Solymosi & Dombi, 1986; Milosevic et…”