2018
DOI: 10.1177/1729881418787315
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Fuzzy extended VIKOR-based mobile robot selection model for hospital pharmacy

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 … Show more

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Cited by 51 publications
(35 citation statements)
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“…Prascevic & Z. Prascevic, 2017). Therefore, many fuzzy MCDM methods (Mohammed et al, 2019a(Mohammed et al, , 2019bZhou et al, 2018aZhou et al, , 2018b) such as FANP, FTOPSIS, FAHP, FDEA, etc., have been applied for decision making under uncertainty.…”
Section: Introductionmentioning
confidence: 99%
“…Prascevic & Z. Prascevic, 2017). Therefore, many fuzzy MCDM methods (Mohammed et al, 2019a(Mohammed et al, , 2019bZhou et al, 2018aZhou et al, , 2018b) such as FANP, FTOPSIS, FAHP, FDEA, etc., have been applied for decision making under uncertainty.…”
Section: Introductionmentioning
confidence: 99%
“…Different from other ranking methods, the VIKOR method has two main advantages. The first advantage is that the VIKOR method finds out the optimal alternative based on maximum group utility and minimum individual regret [20,21]. The second is that compromised solution can be supplied in the ranking result fulfilling the practical needs [22].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Ghorabaee (2016), employed the VIKOR method and Interval Type-2 Fuzzy sets to assess and select robots. Zhou et al, (2018), developed a Fuzzy extended VIKOR-based model for mobile robot selection for hospital pharmacy. Wang, Miao, Cui and Liu (2018), proposed a Robot Evaluation and Selection model with Entropy-Based Combination Weighting and Cloud TODIM Approach.…”
Section: Introductionmentioning
confidence: 99%