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Solution to gang crime based on Graph Theory and Analytical Hierarchy Process

机译:基于图论和层次分析法的帮派犯罪解决方案

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摘要

This paper considers the solution to gang crime combined Analytical Hierarchy Process with Graph Theory. The main purpose is to identify the conspirators and make a priority list based on the given message traffic in a certain crime case. To identify one person, we firstly quantify the topics through Analytic Hierarchy Process, then establish the network model based on Graph Theory and finally conclude the relative relevance from this person to the known conspirators and non-conspirators. The flexibility of the model is illustrated and the results show that the method is effective. (C) 2014 Elsevier B.V. All rights reserved.
机译:本文结合层次分析法和图论来研究帮派犯罪的解决方案。主要目的是识别同谋者,并根据特定犯罪案件中给定的消息通信量制定优先级列表。为了识别一个人,我们首先通过层次分析法对主题进行量化,然后基于图论建立网络模型,最后得出该人与已知的同谋者和非同谋者的相关性。说明了模型的灵活性,结果表明该方法是有效的。 (C)2014 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Neurocomputing》 |2014年第22期|121-127|共7页
  • 作者单位

    Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Gang crime; Network; Graph Theory; AHP; Semantic analysis;

    机译:帮派犯罪;网络;图论;层次分析法;语义分析;

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