Spatial Analysis of Health City Indicators Condition Using Fuzzy Clustering and Topsis Model Case Study: Counties of Mazandaran Province

The increase in urbanization trend and environmental, social and demographical consequences has led to the reaction of health city’s advocates focusing on health and sanitation of human society. Therefore, in the middle of 1980, health city approach was proposed as a way of achieving individual and social desirable life. The aim of this research is Spatial Analysis of Health City Indicators Situation. The research methodology is descriptive-analytical and based on secondary formal data. In this study, fuzzy clustering analysis (C-Means algorithm) was used to cluster cities in Mazandaran and for more accuracy Topsis model was used. The results show that cities membership is independent of spatial factor of distance from center. Also, cities membership in fourth cluster rejected probability of difference between west, center and east cities in province. On the other hand, albeit it was supposed that center county’s cities are in a better condition in comparison to other counties, it was not the case and they got the seventh rank.