گسترش تيوري استدلال شهودي در يك روش تصميم گيري چند معياره در اطلاعات مكاني غيرمستقل

The Evidential Reasoning Approach for a Multi Attribute Decision Making Method in Geospatial Information

Multi attribute decision making is a method to rank decision alternatives based on judges conducted by each criteria. These judges have been accompanied with some uncertainties and a decision making method dealing with the uncertainties could lead to more rational and precise decisions. A number of classical methods for multi attribute decision making have been proposed such as Analytic Hierarchy Process(AHP). However the methods do not include uncertainties in data and decisions appropriately. For modeling the uncertainties, some intelligent methods have also been employed. One of the most popular ones is Dempster-Shafer Analytic Hierarchy Process (DS/AHP). This method is based on independent assumption of intuition sources that is not established in data such as geospatial information. To solve this problem, this paper has proposed a new intelligent decision making method based on evidential reasoning theory and a combination rule that does not need independent assumption of information. The method has been used for seismic vulnerability assessment of urban areas of Tehran using dependent geospatial information.