Locating The Temporary Settlement by Using Variable's Fuzzing and Hierarchical Analysis Process in GIS Environment Case Study: Meybod City

Given the high importance of housing for human, predictin of locations for temporary housing of the people damaged from the events is inevitable. Meybod city with its historical background and a narrow passage network is placed in a zone with relatively high degree of risk. One of the most important duties of the planners of crisis management part is serious predictions for emergency accommodation, because the affected people with no conventional housing are on the verge of serious physical, mental and psychic serious damages.with respect to the location nature of this subject and fuzzy nature of parameters and facing with a great deal of parameters for decision making, it is possible to use a combination of GIS and Fuzzy logic together with multi criteria decision making methods for making an optimum decision which leads to specifying the promising areas for temporary housing. The required statistics and information were gathered by library and field method and satellite images of the under study area were updated in the map of Meybod city. The aim of this study is the presentation of an effective, flexible, logical and strong method for locating temporary housing by using GIS. In this study, firstly the most effective parameters were selected and by using hierarchical process and Fuzzy logic, the places for temporary housing were obtained. Then, the recommended locations were compared and prioritized and the considered sites were ranked and the best one was specified among the selected options. In AHP method, six places with relative importance of " very appropriate" and total area of 347,071 square meters and six places with relative importance of " appropriate" and total area of384,369 square meters were determined as the best locations for temporary housing. Baharan park and bare lands of the south east of the Governory stadium were selected with relative importance of " very appropriate" in Fuzzy method.