Spatial justice with scientific and humanitarian teachings, cause the weaknesses and strengths in different areas. Since most of the allocation and distribution of national and regional resources in the country through focused planning, The present study is an analysis of spatial justice of rural services in the Isfahan province. The research method is descriptive and analytic. The required data were collected through documents. This study, using the 8 Rural Services measures consists of 77 variables was performed. Data were analyzed using SPSS and Excel. Validity of measures confirms using factor analysis and then used as input to numerical taxonomy technic. The obtained results using the GIS software were designed as a map and charts. In this research counties were divided into three groups in terms of distribution of rural services. The results indicated that there is inequality in the distribution of services and showed that rural services are not distributed fairly in the counties of Isfahan province. In other words, in the sparsely populated areas, focused service centers and in more densely populated areas, the lack of service evident. And for rural service delivery in the Isfahan province not pay any attention to important factors such as population.

Today, the knowledge of regions’ strong and weak points and the existing gaps between regions is necessary for better planning and programming to deal with them. Using such indexes as economic, sociologic, cultural, sanitary and other indexes which can be good criteria for the position and place determination of these quotients, is the main solving problem factor to achieve economic welfare, sociologic health in assessing stable development. That is the more careful this process is the more effectiveness is expected. Thus in this study three methods of numerical taxonomy, factor analysis and fuzzy logic have been used for the identification of Khuzestan province counties development ranking in 1379 and in 1386. Besides this ranking, comparative analysis of these methods has been done. Results show that the development opportunities of many counties in this province in 1386 compared to 1379 have been destroyed. Results also indicate that condense variability in numerical taxonomy is less than the two other methods. In fact, this method stands between the two methods in the ranking. Perhaps the difference in multiplier is due to standardization which can omit many clustering aspects of criteria. Indeed, it seems that fuzzy logic ranking is more reliable.