作者
Shakiba Khademolqorani, Ali Zeinal Hamadani
发表日期
2013/2/27
期刊
Procedia-Social and Behavioral Sciences
卷号
73
页码范围
388-395
出版商
Elsevier
简介
Decision 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.
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