the determination of optimal areas for the development of new towns and cities using efficient models (case study: tehran province)

one of the critical issues related to sustainable urban in twenty-first century, is the growth and development of the city in space and on this basis, the civil management was forced to think about urban development. tehran metropolis with its growing, developing immersive and without physical, environmental instability surrounding the statue has arrived. one of the ways for decentralization and redistribution of the population and facilities thought in spatial planning is the, urban development and building new settlements around the metropolis which must meet the criteria of environmental, social, economic, physical, geographical distance, etc. be considered in studies not lead to environmental catastrophes. the method of this research is descriptive-analytical and its target is applied using the k-means and fcm's clustering methods to check this important. to evaluate the quality of the environment and determine optimal sites for the development the new cities in tehran province in 3 pm base (man-made environment, social environment, economic environment and the natural environment) with a total of 22 indexes are used. the analysis and processing of indices for the paper two environments matlab2013 and arc gis software was done. the results of clustering using fcm and overlay in the form of maps showing which areas are suitable for urban development in the east and south of tehran. also the plan was prepared by k-means that we can be used to provide strategies and integrated management areas.