论文标题
根据小组决策系统选择用于定位州军事组织（SMO）的综合安全区域：一种多准则方法
Selection of an Integrated Security Area for locating a State Military Organization (SMO) based on group decision system: a multicriteria approach
论文作者
论文摘要
在过去的几年中，当局越来越关注全球犯下的犯罪。在巴西，这没什么不同。高犯罪率鼓励参与公共安全的政府当局确定解决方案以最大程度地减少犯罪。在这种情况下，计划和管理安全性的一种方法是在ISA（集成安全区域）的社区划分中。每个ISA都有一个邻里企业集团的地理位置。由此，有可能最大程度地提高安全管理和打击犯罪。基于此，在政府层面上引起良好讨论的要点之一是选择某个综合安全区以安装某个警察营。由于涉及多个层次结构，因此此选择涉及多个决策者。因此，本文旨在确定使用小组决策技术和工具部署警察营的最佳ISA。对于这项工作，从两种主要投票技术中使用了称为小组支持（GRU）的小组决策支持系统（GDSS）：Condorcet和Borda。因此，可以考虑到预先建立的标准，确定最好的ISA。
Over the past few years there has been growing concern among authorities over crimes committed worldwide. In Brazil it is no different. High crime rates have encouraged government authorities involved in public safety to identify solutions to minimize crimes. In this context, one way to plan and manage security is in the division of neighborhoods in ISA (Integrated Security Areas). Each ISA has a neighborhood conglomerates taking into account their geolocation. From this it becomes possible to maximize security management and combat crime. Based on that, one of the main points that generate great discussion at the governmental level is the choice of a certain integrated security area for the installation of a certain police battalion. This choice involves multiple decision makers since several hierarchies are involved. Thus, this paper aims to identify the best ISA to deploy a police battalion using group decision techniques and tools. For this work the Group Decision Support System (GDSS) called GRoUp Support (GRUS) was used from two main Vote techniques: Condorcet and Borda. With this it was possible to identify the best ISA taking into account the pre-established criteria.
