The Design and Implementation of an Urban Decision Support System Based on Artificial Intelligence Concepts

In this paper, fuzzy set theory was used to deal with the current issues in urban management and spatial decision making. Recently one of the common tools used in this field is Urban Information System (UIS) whose capability is obvious, but one of the considerable problems in this system is how to communicate with users, i.e., the citizens, in a suitable way due to inherent vagueness exists in definitions of needs and criteria with lingual statements. The method used in this study is based on the UIS, as an efficient tool and the fuzzy set theory as a best solution to cope with vagueness. The method was tested in a case study to find a suitable house according to user's criteria using a 1:2000 digital map of Rasht which consisted of several layers. The result shows superiority of our proposed method based on fuzzy set theory over the conventional systems.