2020
DOI: 10.1007/s00500-020-05461-y
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Decision-making from multiple uncertain experts: case of distribution center location selection

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Cited by 20 publications
(14 citation statements)
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“…Indeed, with uncertainty, experts are generally unable to evaluate potential locations and to define the criteria weights, which underline the importance of fuzzy set theory in calculating the composite indicators [60]. Experts' uncertainty can also result when their preferences are often ambiguous and uncertain, which impacts the quality of the data resulting from their observations [8,61]. As decision-makers are unlikely to have full knowledge about all issues related to the choice of the location of a logistics platform, uncertainties need to be taken into account.…”
Section: Methodsmentioning
confidence: 99%
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“…Indeed, with uncertainty, experts are generally unable to evaluate potential locations and to define the criteria weights, which underline the importance of fuzzy set theory in calculating the composite indicators [60]. Experts' uncertainty can also result when their preferences are often ambiguous and uncertain, which impacts the quality of the data resulting from their observations [8,61]. As decision-makers are unlikely to have full knowledge about all issues related to the choice of the location of a logistics platform, uncertainties need to be taken into account.…”
Section: Methodsmentioning
confidence: 99%
“…Agrebi et al [8] proposed a decision support system to select the location of distribution centers. The introduced multi-attribute and multi-actor decision-making method based on the Elimination and Choice Expressing Reality method (ELECTRE-I).…”
Section: Existing Approaches Of Locating Logistics Platformmentioning
confidence: 99%
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“…Local government support Demircan and Özcan, 2021 , Demirel et al, 2010 , García et al, 2014 , He et al, 2017 , Ocampo et al, 2020 C23. Environmental impact Agrebi and Abed, 2021 , Awasthi et al, 2011 , He et al, 2017 , Ocampo et al, 2020 C24. Impact on traffic congestion He et al (2017) C25.…”
Section: Real Case Studymentioning
confidence: 99%