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Volumn , Issue , 2011, Pages

A topsis-based pre-selection method supporting mutiple products partner selection in a virtual enterprise

Author keywords

Partner selection; Pre selection of partners; TOPSIS; Virtual enterprise

Indexed keywords

COOPERATIVE ENTERPRISE; MULTIPLE PRODUCTS; MUTIPLE PRODUCTS; PARTNER SELECTION; POTENTIAL PARTNERS; PRE-SELECTION; TOPSIS; VIRTUAL ENTERPRISE;

EID: 84923499177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (15)
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    • Ye, F.1    Li, Y.2
  • 5
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    • Zhao, Q., X. Zhang, and R. Xiao, Particle swarm optimization algorithm for partner selection in virtual enterprise. Progress in Natural Science, 2008. 18(11): p. 1445-1452.
    • (2008) Progress in Natural Science , vol.18 , Issue.11 , pp. 1445-1452
    • Zhao, Q.1    Zhang, X.2    Xiao, R.3
  • 7
    • 67349223299 scopus 로고    scopus 로고
    • A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method
    • Boran, F., M. Kurt, and D. Akay, A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 2009. 36(8): p. 11363-11368.
    • (2009) Expert Systems with Applications , vol.36 , Issue.8 , pp. 11363-11368
    • Boran, F.1    Kurt, M.2    Akay, D.3
  • 8
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    • A fuzzy TOPSIS methodology to support outsourcing of logistics services
    • Bottani, E. and A. Rizzi, A fuzzy TOPSIS methodology to support outsourcing of logistics services. Supply Chain Management: An International Journal, 2006. 11(4): p. 294-308.
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    • Bottani, E.1    Rizzi, A.2
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    • Camarinha-Matos, L.1    Afsarmanesh, H.2
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    • Assigning cardinal weights in multi-criteria decision making based on ordinal ranking
    • Alfares, H. and S. Duffuaa, Assigning cardinal weights in multi-criteria decision making based on ordinal ranking. Journal of Multi-Criteria Decision Analysis, 2008. 15(5-6): p. 125-133.
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  • 13
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    • A comparison of three weight elicitation methods: Good, better, and best
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.