Detecting key success Factor (CSF) employment of decision Making supportive systems (DDS) at urban management area (case study saveh mayoralty)

decision mating supportive systems help to determiners by the way of direct mutual actin with information and analytic models solve semi-structured issue. Emptical concept in decision making supportive systems is that results should obtain quickly with exports and directly use by politicians or exports researchers. In the present research urban management structure and supportive systems usage of saveh municipality checked present study in terms of essence is in the category of development practical research and in terms of method is member of analytic descriptive research statistic and information of research have don free scaling by library, reading, administrators and saveh mayoralty exports have constituted statistical sociwty of research. Vote and their opinion collected by questionnaire. In the analysis of information spss software and statistical examination chi-square, Friedman and exploratory factor analysis and rotation matrix are used. The result of research show that the main key factor than can increase success; Decision making supportive systems. Include training of participatory urban; Managers, development knowledge division culture and appropriate pragmatics of decision making supportive systems.