Data Mining, Group Memory, Group Decision Making: A Theoretical Framework

نویسندگان

  • Mohammad Rahman
  • Nancy Martin
  • Souren Paul
چکیده

One facet of group decision making that has escaped close scrutinization is the effect of individual biases and group biases on group work. In this paper we present a theoretical framework for using data mining based group memory to overcome the biases in group decision making situations. By studying the patterns extracted from the group memory data, the group members can develop a better understanding about the decision situation and identify the criteria that are most appropriate for them, thereby reducing bias and improving group decision making performance.

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تاریخ انتشار 2003