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A fuzzy multi-objective model for provider selection in data communication services with different QoS levels

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  • Pan, Wei
  • Yu, Lean
  • Wang, Shouyang
  • Wang, Xianjia

Abstract

Data communication service has an important influence on e-commerce. The key challenge for the users is, ultimately, to select a suitable service provider. It is a multi-criteria decision-making (MCDM) problem where the user must weigh up the relative importance of factors such as costs and quality of service (QoS). Meanwhile, we know that in the real life situation, much of the input information is uncertain. Thus, the problem of provider selection becomes very complex in a real-life environment. In this paper, we combine these features to construct a new fuzzy multi-objective optimization model for solving the provider selection problem, considering non-linear objective membership function, multi-class services, price breaks, different QoS levels and penalty definition in different tasks. Finally, a numerical example is presented to illustrate the proposed method. The results show that this method is an effective method for solving the provider selection problem in data communication services.

Suggested Citation

  • Pan, Wei & Yu, Lean & Wang, Shouyang & Wang, Xianjia, 2014. "A fuzzy multi-objective model for provider selection in data communication services with different QoS levels," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 689-696.
    • Handle: RePEc:eee:proeco:v:147:y:2014:i:pc:p:689-696
    DOI: 10.1016/j.ijpe.2013.04.030
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    References listed on IDEAS

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    4. Vedran Kordic (ed.), 2008. "Supply Chain," Books, IntechOpen, number 26.
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    Cited by:

    1. Cui-Hua Zhang & Peng Xing & Jin Li, 2018. "Optimal Strategy of Social Responsibility and Quality Effort in Service Supply Chain with Quality Preference," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(03), pages 1-43, June.

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