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J. Blaszczyński, R. Slowiński and M. Szelg, “Sequential Covering Rule Induction Algorithm for Variable Consistency Rough Set Approaches,” Information Sciences, Vol. 181, No. 5, 2011, pp. 987-1002.
http://dx.doi.org/10.1016/j.ins.2010.10.030

has been cited by the following article:

• TITLE: A New Attribute Decision Making Model Based on Attribute Importance

  AUTHORS: Wei Liu, Yuming Zhai

  KEYWORDS: Rough Set; Decision Making; Multiple Attribute

  JOURNAL NAME: Technology and Investment, Vol.4 No.4, October 30, 2013

  ABSTRACT: In the light of universality of uncertainty, we propose a decision making model in completed information system. Considering the attribute reduction, attribute importance and mismatched information, a multiple attribute decision making model based on importance of attribute is constructed. First of all, decision table is obtained by the knowledge known and deleting reduced attributes. Also, attributes value reduction obtained to simplify the decision table and rules is extracted. Then, rules are utilized to make decision for a new problem. Finally, an example is advanced to illustrate our model.