Fuzzy MCDM Approach for Health-Care Performance Assessment in Istanbul

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.