A fuzzy-based advisor for elections and the creation of political communities

Luis Terán
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引用次数: 8

Abstract

The rapid increase of information on the Internet is currently a key issue when one is looking for relevant information. At the same time, in the political sector, the amount of available information about candidates and political parties is also increasing. This is becoming a significant problem for voters when they face election processes that require them to select their representatives from a big list of candidates since, in many cases, the candidates are relatively unknown to their constituents. Additionally, the creation of political communities interested in addressing political issues is a hurdle yet to overcome. In this work, an advisor for elections and creation of political communities based on fuzzy logic is presented. The recommendation engine works with a modified fuzzy c-means algorithm and the Sammon mapping technique used for visualization of recommendations. First results demonstrate the potential for building political communities and the stimulation of civic participation.
一个基于模糊的选举和政治社区创建顾问
互联网上信息的快速增长是当前人们寻找相关信息时的一个关键问题。与此同时,在政治领域,关于候选人和政党的可用信息也在增加。这对选民来说是一个重大问题,因为他们需要从一大堆候选人中选出自己的代表,因为在许多情况下,选民对这些候选人的认识相对较低。此外,建立有兴趣解决政治问题的政治团体是一个有待克服的障碍。在这项工作中,提出了一个基于模糊逻辑的选举和政治社区创建顾问。推荐引擎使用改进的模糊c均值算法和用于推荐可视化的Sammon映射技术。第一个结果显示了建立政治社区和刺激公民参与的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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