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情报分析中的变量管理——基于结构化分析方法的思考
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  • 英文篇名:Variables Management in Intelligence Analysis: Based on the Structured Analysis Method
  • 作者:陈烨 ; 马晓娟 ; 董庆安
  • 英文作者:Chen Ye;
  • 关键词:结构化分析 ; 预测分析 ; 变量管理 ; 量化分析
  • 英文关键词:structured analysis;;predictive analysis;;variable management;;quantitative analysis
  • 中文刊名:QBLL
  • 英文刊名:Information Studies:Theory & Application
  • 机构:国防科技大学国际关系学院;
  • 出版日期:2018-10-19 10:11
  • 出版单位:情报理论与实践
  • 年:2019
  • 期:v.42;No.300
  • 基金:国家社会科学基金重大项目“情报学学科建设与情报工作未来发展路径”(项目编号:17ZDA291);; 国防科技大学科研项目“结构化分析与情报分析的实战化训练”(项目编号:JS17-03-43)的研究成果
  • 语种:中文;
  • 页:QBLL201901003
  • 页数:7
  • CN:01
  • ISSN:11-1762/G3
  • 分类号:19-25
摘要
[目的/意义]预测性情报问题通常包含诸多相互作用的影响变量,识别变量、明确变量间交互作用是分析研判的基础,因此情报分析过程中进行有效的变量管理是提高情报分析质量、为情报用户提供有力支持的重要路径。[方法/过程]文章通过描述性研究、比较分析和例证等方法,明确变量管理在情报分析中的重要作用,并借助结构化分析方法,重塑了情报分析中的变量管理流程和路径。[结果/结论]认为结构化分析方法为情报分析中的变量管理提供了认知框架、操作平台、分析路径、监控渠道以及系统流程,是有效实现变量管理、提高分析质量的重要方法基础。[局限]预测的复杂性使得变量管理只能发挥有限作用,分析失误无法被完全消除。
        [Purpose/significance] Predicative intelligence issues generally include multiple interactive influencing variables. Identifying variables and their interaction have to go prior to further analysis. Thus effective variables management in intelligence analysis is a key path for high-quality and supportive analysis to intelligence users. [Method/process]The paper tries to illuminate the key role of variables management in intelligence analysis through methods of descriptive study,comparative analysis and case study,and reconstructs a whole process and path of variables management based on structured analysis techniques. [Result/conclusion] It draws a conclusion that structured analysis method provides a conceptual framework,operative platform,analytic path,supervision channel and systematic process for variables management,which is a critical method to effectively realize variables management and improve analysis quality. [Limitations]Complexity in predication makes variables management impossible to give full play or eliminate analytic failure.
引文
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