An Approach for Attribute Weights Acquisition based on Rough Sets Theory and Information Gain
Dun Liu, Pei Hu, Tianrui Li, Chaozhe Jiang · 2007
The irrationality of constructing weights, lending to subjectivity and without considering the redundancy of attributes, exists in traditional management decision-making.The σimportant rating and ξimportant rating are first proposed by the attribute reduct in rough sets theory.Then, the gimportant rating is given by the information gain in information entropy.An approach for acquiring attribute weights employing the three important ratings is presented to solve the problem of subjectivity and redundancy.An empirical case study validates the rationality and validity of our method.