Abstract
Attribute significance is involved in lots of operation in rough set theory. The concept of attribute significance is researched, and several attribute significance algorithms based on rough set theory are discussed, which are attribute dependence, information entropy and granularity. For the stander of attribute significance, consider its completeness and compared from the time complexity, the discussion of attribute significance provided a reference for further work of attribute reduction, which is also a summary of the attribute significance.
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Liu, B., Liu, Q., Zhao, C. (2010). The Comparative Study and Improvement of Several Important Attribute Significance Algorithms. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16339-5_41
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DOI: https://doi.org/10.1007/978-3-642-16339-5_41
Publisher Name: Springer, Berlin, Heidelberg
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