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THE DESIGN AND IMPLEMENTATION OF AN URBAN DECISION SUPPORT SYSTEM BASED ON ARTIFICIAL INTELLIGENCE CONCEPTS

机译:基于人工智能概念的城市决策支持系统的设计与实现

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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.
机译:在本文中,模糊集理论被用于处理城市管理和空间决策中的当前问题。最近,该领域中使用的通用工具之一是城市信息系统(UIS),其功能显而易见,但是由于固有的原因,该系统中的一个重要问题是如何以适当的方式与用户(即市民)进行通信语言定义的需求和标准的定义中存在模糊性。本研究中使用的方法基于UIS,它是一种有效的工具,而模糊集理论是应对模糊性的最佳解决方案。该方法在案例研究中进行了测试,以根据用户的标准使用1:2000的拉什特数字地图(由几层组成)找到合适的房屋。结果表明,我们提出的基于模糊集理论的方法优于常规系统。

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