Prioritization of User Strategies for mHealthcare App Selection


Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, İstanbul, Turkey, 22 - 24 August 2023, vol.759 LNNS, pp.99-107 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 759 LNNS
  • Doi Number: 10.1007/978-3-031-39777-6_12
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.99-107
  • Keywords: AHP, Healthcare, Intuitionistic Fuzzy, MCDM, Mobile Applications
  • Galatasaray University Affiliated: Yes


The healthcare industry is gigantic, and as such, very competitive, and thus one of the more obvious categories of mobile applications (apps) is the healthcare apps and need little explanation. mHealthcare (mobile healthcare) is a general term for the use of mobile technologies and other sensor technologies in healthcare. User strategies to select a suitable app to handle the needs of healthcare for a patient is a complicated procedure that requires different aspects to think about. Hence, the problem of prioritization of user strategies for mHealthcare app selection is a multicriteria decision-making (MCDM) problem. MCDM methods are simple, effective and efficient methods to be used in solving many different types of problems related to the ranking and selection of alternatives. Analytic Hierarchy Process (AHP) is a widely used method among MCDM problems. This method is used by combining AHP with an intuitionistic fuzzy set to prioritize a suitable user strategy. Intuitionistic fuzzy sets can tackle the problem of describing vagueness and uncertainty of an event in the traditional model. Finally, a numerical example is conducted for mHealthcare app selection to illustrate the function of the intuitionistic fuzzy AHP method.