An Adjusted Decision Support System through Data Mining and Multiple Criteria Decision Making

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.