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A fuzzy TOPSIS method for performance evaluation of reverse logistics in social commerce platforms
Han, Hui
Engineering Management, Business Administration and Statistics Department, Technical University of Madrid (UPM), Calle José Gutiérrez Abascal, 2, 28006 Madrid, Spain.
ORCID iD:
0000-0001-9320-3808
Trimi, Silvana
Department of Supply Chain Management and Analytics, University of Nebraska-Lincoln, CoB 511G, P.O. Box 880491, Lincoln, NE, USA.
2018 (English)
In:
Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 103, p. 133-145
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 103, p. 133-145
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:ltu:diva-110075
DOI:
10.1016/j.eswa.2018.03.003
ISI:
000430521200011
Scopus ID:
2-s2.0-85046028022
OAI: oai:DiVA.org:ltu-110075
DiVA, id:
diva2:1900285
Available from:
2024-09-23
Created:
2024-09-23
Last updated:
2025-10-21
Bibliographically approved
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modern-language-association-8th-edition
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ieee
modern-language-association-8th-edition
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en-GB
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nn-NB
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