论文标题
Quis：智能网站选择的问题
QuIS: The Question of Intelligent Site Selection
论文作者
论文摘要
现场选择是公司最重要的决定之一。这样的决定取决于站点的各种因素，包括社会经济，地理，生态学以及公司的特定要求。现有的站点选择方法是手动，主观的，并且不可扩展。本文提出了用于现场选择的新方法Quis，该方法比现有的最新方法具有自动，可扩展性且更有效。基于分析时间和空间中所有位置因素的决定性数据，它公正地找到了适合的网站。提出方法的另一个亮点是，这些建议得到了解释的支持，即为什么建议了某些建议。为了评估提出的方法的有效性，使用200多个位置因素的实际数据进行11.162个地点，对德国超市的现场选择进行了案例研究。评估结果表明，经济学家选择的现有超级市场的地点与提出的方法推荐的地点之间存在巨大的覆盖范围（86.4％）。此外，该方法还建议许多站点（328）开设新的超市是有益的。此外，揭示了新的决定性位置因素，这会影响超市的存在。
Site selection is one of the most important decisions to be made by companies. Such a decision depends on various factors of sites, including socio-economic, geographical, ecological, as well as specific requirements of companies. The existing approaches for site selection are manual, subjective, and not scalable. The paper presents the new approach QuIS for site selection, which is automatic, scalable, and more effective than existing state-of-the-art methods. It impartially finds suitables site based on analyzing decisive data of all location factors in both time and space. Another highlight of the proposed method is that the recommendations are supported by explanations, i.e., why something was suggested. To assess the effectiveness of the presented method, a case study on site selection of supermarkets in Germany is performed using real data of more than 200 location factors for 11.162 sites. Evaluation results show that there is a big coverage (86.4 %) between the sites of existing supermarkets selected by economists and the sites recommended by the presented method. In addition, the method also recommends many sites (328) where it is benefial to open a new supermarket. Furthermore, new decisive location factors are revealed, which have an impact on the existence of supermarkets.
