Hospital Site Selection via Hesitant Fuzzy TOPSIS

Senvar O., Otay I., Bolturk E.

8th IFAC Conference on Manufacturing Modelling, Management and Control (MIM), Troyes, France, 28 - 30 June 2016, vol.49, pp.1140-1145 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 49
  • Doi Number: 10.1016/j.ifacol.2016.07.656
  • City: Troyes
  • Country: France
  • Page Numbers: pp.1140-1145
  • Istanbul Technical University Affiliated: Yes


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 arc 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. (C) 2016, IFAC (International Federation of Automatic Control) Hosting, by Elsevier Ltd. All rights reserved.