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An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information

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  • Yi-Xi Xue
  • Jian-Xin You
  • Xufeng Zhao
  • Hu-Chen Liu

Abstract

Nowadays selecting the most suitable robot is a difficult task for manufacturing firms due to increase in production demands and availability of various robot models. Robot evaluation and selection can be regarded as a multiple criteria decision-making (MCDM) problem and three key issues are the assessment of robots, the determination of criteria weights and the prioritisation of alternatives. This paper aims to propose an integrated model based on hesitant 2-tuple linguistic term sets and an extended QUALIFLEX approach for handling robot selection problems with incomplete weight information. The new model can not only manage uncertain and imprecise assessment information of decision-makers with the aid of hesitant 2-tuple linguistic term sets, but also derive the important weights of criteria objectively when the weight information is incompletely known. Moreover, based on the extended QUALIFLEX algorithm, the priority orders of robots can be clearly determined and a more reasonable and credible solution can be yielded in a particular industrial application. Finally, a robot selection case study is carried out, and comparative experiments indicate the practicality and effectiveness of the proposed integrated linguistic MCDM approach.

Suggested Citation

  • Yi-Xi Xue & Jian-Xin You & Xufeng Zhao & Hu-Chen Liu, 2016. "An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5452-5467, September.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:18:p:5452-5467
    DOI: 10.1080/00207543.2016.1146418
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    Cited by:

    1. Sheng-Li Si & Xiao-Yue You & Hu-Chen Liu & Jia Huang, 2017. "Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach," IJERPH, MDPI, vol. 14(8), pages 1-17, August.
    2. Ke-Qin Wang & Hu-Chen Liu & Liping Liu & Jia Huang, 2017. "Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    3. Chao Lu & Jian-Xin You & Hu-Chen Liu & Ping Li, 2016. "Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method," IJERPH, MDPI, vol. 13(6), pages 1-16, June.
    4. Liu, Hu-Chen & Li, Zhaojun & Zhang, Jian-Qing & You, Xiao-Yue, 2018. "A large group decision making approach for dependence assessment in human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 135-144.
    5. Xiaoli Tian & Zeshui Xu & Xinxin Wang & Jing Gu & Fawaz E. Alsaadi, 2019. "Decision Models to Find a Promising Start-Up Firm with Qualiflex under Probabilistic Linguistic Circumstance," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1379-1402, July.
    6. Liu, Hu-Chen & You, Xiao-Yue & Xue, Yi-Xi & Luan, Xue, 2017. "Exploring critical factors influencing the diffusion of electric vehicles in China: A multi-stakeholder perspective," Research in Transportation Economics, Elsevier, vol. 66(C), pages 46-58.
    7. Zhou, Pengfei & Luo, Jie & Cheng, Fei & Yüksel, Serhat & Dinçer, Hasan, 2021. "Analysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts," Energy, Elsevier, vol. 224(C).

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