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  • 标题:Multidimensional Scaling as an Aid for the Analytic Network and Analytic Hierarchy Processes
  • 本地全文:下载
  • 作者:M. A. A. Cox
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2009
  • 卷号:7
  • 期号:03
  • 页码:381-396
  • 出版社:Tingmao Publish Company
  • 摘要:

    Graphs are a great aid in interpreting multidimensional data. Two examples are employed to illustrate this point. In the first the many dissimilarities generated in the Analytic Network Process (ANP) are analysed using Individual Differences Scaling (INDSCAL). This is the first time such a procedure has been used in this context. In the second the single set of dissimilarities that arise from the Analytic Hierarchy Process (AHP) are analysed using Multidimensional Scaling (MDS). The novel approach adopted here replaces a complex iterative procedure with a systematic approach that may be readily automated.

  • 关键词:Multidimensional Scaling;Analytic Hierarchy Processes;Multidimensional Data;Analytic Network Process;Individual Differences;Analytic Hierarchy Process
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