Classification of Provinces in Turkey in Terms of Health Indicators with Fuzzy Clustering Analysis

Dolu A., Kuvvetli U.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.504, pp.303-310 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_38
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.303-310
  • Keywords: Fuzzy clustering, Health, Health indicators, Statistics, Classifications, Provinces, Equality
  • Istanbul Technical University Affiliated: No


Health services are critical indicators in determining countries' sustainable development and socio-economic development levels. Especially in the process of the Covid-19 pandemic, it has been understood how important countries' health systems are for their economic status. While the countries compare their health indicators, they also try to implement health policies to reduce the development differences. Therefore, determining and classifying the existing social and economic structures of provinces is very important in examining the development status and possible development trends of provinces and informing regional health policies in parallel. This study it is aimed to classify 81 provinces in Turkey with their health indicators using fuzzy clustering analysis. As a result of the study, homogeneous provincial groups with the same characteristics in terms of health indicators will be determined. In light of the results, policy suggestions will be made to eliminate the development differences between clusters in the proposed regional health policies.