Fuzzy MCDM approach for health-care performance assessment in Istanbul

Karadayi M. A., KARSAK E. E.

18th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2014, Florida, United States Of America, 15 - 18 July 2014, vol.2, pp.228-233 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.228-233
  • Keywords: Decision analysis, Fuzzy TOPSIS, Fuzzy VIKOR, Health-care, Multi-criteria decision making, Performance evaluation
  • Galatasaray University Affiliated: Yes

Abstract

Performance measurement in the health-care sector is a challenging task due to the wide variety in performance metrics and their interpretation. It is essential to develop a robust methodology to evaluate health-care performance since substantial and increasing amount of public resources are dedicated to health-care. With this goal in mind, this paper proposes a fuzzy decision making framework that enables to consider information imperfection such as imprecision and qualitative evaluations as well as crisp data for health-care performance assessment. Initially, a multi-criteria decision making (MCDM) approach based on fuzzy set theory and VIKOR method is employed for health-care performance evaluation of six regions in Istanbul, a metropolis with nearly 15 million inhabitants that is also among the world's most populated cities. Fuzzy TOPSIS is also used since a set of compromise solution obtained via fuzzy VIKOR does not enable a complete ranking of regions. A comparative analysis is presented to assess the health-care performance of six regions in Istanbul.