2012
DOI: 10.5028/jatm.2012.04033411
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Performance evaluation with PROMETHEE GDSS and GAIA: A study on the ITA-SAT satellite project

Abstract: Method for Enrichment Evaluations-Group Decision Support System (PROMETHEE GDSS) (Macharis et al., 1998) and Graphical Analysis for Interactive Assistance (GAIA) (Hayes et al., 2009) to evaluate the performance in the subsystems In this study, a group decision-making method was chosen to use, due to the need for the team members to participate in incorporates their values and preferences.

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Cited by 9 publications
(13 citation statements)
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(8 reference statements)
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“…A second important benefit of a PRO-METHEE is the fact of its straight-forwardness in applying its tactics when judged in reference to alternative outranking methods [39]. Goncalives and Belderrain [20] in consensus with Silva et al [41] noted that the way in which each criterion is evaluated using the preference functions is a benefit. The other benefit is that it is possible to interpret geometrically the outcomes by the GAIA approach [20,36].…”
Section: Methodsmentioning
confidence: 99%
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“…A second important benefit of a PRO-METHEE is the fact of its straight-forwardness in applying its tactics when judged in reference to alternative outranking methods [39]. Goncalives and Belderrain [20] in consensus with Silva et al [41] noted that the way in which each criterion is evaluated using the preference functions is a benefit. The other benefit is that it is possible to interpret geometrically the outcomes by the GAIA approach [20,36].…”
Section: Methodsmentioning
confidence: 99%
“…A weighted decision matrix is created by multiplying normalised decision matrix with criteria weights (Eqs. 20,21 …”
Section: Fuzzy Topsismentioning
confidence: 99%
“…Zardari et al (2014) gives an overview of the best known outranking techniques helping to solve the shortage of AHP method and providing a specific preference function to select constrained alternatives. Developed by (Brans and Vincke, 1985), PROMETHEE has found its application in several domains (Gonçalves and Belderrain, 2012;Taha and Rostam, 2012;Murali et al, 2014) owing to its many advantages. In fact, using a preference function with its thresholds to evaluate each criterion leads to a more reliable understanding of perception differences among the decision-makers at assessing each alternative.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In this final step, experts' assessments are combined to estimate probabilities scores (S k ) and derive voting power (V k ) of each expert (Fülöp, 2005). Inspired by (Wallsten et al, 1997) on how to evaluate and combine subjective probability estimates, we propose:…”
Section: Post-elicitationmentioning
confidence: 99%
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