Hospital Site Selection via Hesitant Fuzzy TOPSIS

This study handles the problem of establishing a well-organized and distributed network of a hospital that delivers its services to the target population. We propose a new multi criteria decision making (MCDM) process that integrates hesitant fuzzy sets (HFSs) to Technique for Order Preference by Si...

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Bibliographic Details
Published in:IFAC-PapersOnLine 2016, Vol.49 (12), p.1140-1145
Main Authors: Senvar, Ozlem, Otay, Irem, Bolturk, Eda
Format: Article
Language:English
Subjects:
Facility Layout
Hesitant fuzzy set (HFS)
Location Selection
Multi criteria decision making (MCDM)
TOPSIS
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Summary:This study handles the problem of establishing a well-organized and distributed network of a hospital that delivers its services to the target population. We propose a new multi criteria decision making (MCDM) process that integrates hesitant fuzzy sets (HFSs) to Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The MCDM process defined under uncertainties are perfectly defined by HFSs reflecting comprehensively hesitant thinking of decision makers. Our proposed methodology is implemented to select the optimum site for a new hospital in Istanbul.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2016.07.656