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  • 标题:An Adjusted Decision Support System through Data Mining and Multiple Criteria Decision Making
  • 本地全文:下载
  • 作者:Shakiba Khademolqorani ; Shakiba Khademolqorani ; Ali Zeinal Hamadani
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2013
  • 卷号:73
  • 页码:388-395
  • DOI:10.1016/j.sbspro.2013.02.066
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractDecision Support Systems (DSS) is a specific class of computerized information system that support business and organizational decision making activities. In the other hand, Data Mining (DM) extends the possibilities for decision support by discovering patterns and relationships hidden in the data and therefore enabling an inductive approach to data analysis. Also, Multiple Criteria Decision Making (MCDM) is concerned with structuring and solving decision and planning problems involving multiple criteria. In this paper an approach is introduced to integrate the DSS with DM and MCDM methods. It causes to synergy of DSS, through getting more options to analysis, using expert's information, and improving evaluation process.
  • 关键词:Decision Support Systems;Data Mining;Multiple Criteria Decision Making
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