2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2016
DOI: 10.1109/ieem.2016.7798051
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About the computation of robust PROMETHEE II rankings: Empirical evidence

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Cited by 4 publications
(3 citation statements)
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“… The Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) [ 53 ] builds an external classification for various alternatives based on a combination of mathematical and psychological methods developing its own understanding of the problem to help agents choose the option that best serves their purpose. This method has been evaluated by different domains such as infrastructure construction [ 38 ], the electric power sector [ 39 , 40 ], and engineering decision-making [ 41 ], among others. …”
Section: Computational Methods For Decision-making Under Uncertaintymentioning
confidence: 99%
See 1 more Smart Citation
“… The Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) [ 53 ] builds an external classification for various alternatives based on a combination of mathematical and psychological methods developing its own understanding of the problem to help agents choose the option that best serves their purpose. This method has been evaluated by different domains such as infrastructure construction [ 38 ], the electric power sector [ 39 , 40 ], and engineering decision-making [ 41 ], among others. …”
Section: Computational Methods For Decision-making Under Uncertaintymentioning
confidence: 99%
“…This method has been evaluated by different domains such as infrastructure construction [38], the electric power sector [39,40], and engineering decision-making [41], among others.…”
mentioning
confidence: 99%
“…-Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE): this method is founded on mathematical and psychological methods used to develop an external classification for various alternatives, thus helping agents to choose the option that best serves its purpose as per its own understanding of the issue. This method has been assessed in several fields, such as for infrastructure construction [15], the electric power sector [32], [1], and engineering decision making [29], among others.…”
Section: Multiple Criteria Decision Makingmentioning
confidence: 99%