Please use this identifier to cite or link to this item: https://doi.org/10.1177/1729881418787315
Title: Fuzzy extended VIKOR-based mobile robot selection model for hospital pharmacy
Authors: Zhou, F.
Wang, X.
Goh, M. 
Keywords: fuzzy extended VIKOR
hospital pharmacy
Internet of Health Things
MCDM
mobile robot selection
Issue Date: 2018
Publisher: SAGE Publications Inc.
Citation: Zhou, F., Wang, X., Goh, M. (2018). Fuzzy extended VIKOR-based mobile robot selection model for hospital pharmacy. International Journal of Advanced Robotic Systems 15 (4). ScholarBank@NUS Repository. https://doi.org/10.1177/1729881418787315
Rights: Attribution 4.0 International
Abstract: To stimulate the development of the Internet of Health Things and the construction of a robotic automation system in the healthcare industry, the mobile robot selection problem for a hospital pharmacy is studied. We target the mobile robot selection as a multi-criteria decision-making problem. The VIKOR-based implementation steps integrating fuzzy extended analytic hierarchy process technique are developed. To avoid any loss of information and ensure the veracity of the VIKOR-based calculations, we employ the fuzzy ranking technique based on the degree of possibility to select the best mobile robot alternative by deriving the minimum fuzzy comprehensive utility value. The results of a case study and the accompanying sensitivity analysis show the effectiveness and robustness of the fuzzy extended VIKOR approach for the mobile robot selection problem. © The Author(s) 2018.
Source Title: International Journal of Advanced Robotic Systems
URI: https://scholarbank.nus.edu.sg/handle/10635/210874
ISSN: 17298806
DOI: 10.1177/1729881418787315
Rights: Attribution 4.0 International
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