A Generalized Attributes Significance Measure Method

Abstract:

Currently, rough set theory has been widely used in many fields. In rough set theory, how to measure the attributes significance of the data is a core content. In order to solve the problem that the existing attributes significance measure methods usually ignore the interaction among the attributes, the paper presents a measure method based on difference degree. When given a set, the proposed method first divides it into several subsets according to the value of condition attributes, and then computes the difference degree in the subsets. Secondly, the important attributes are selected based on the value of difference degree. Further the paper discussed some properties of the difference degree, and the experimental results shows the effectiveness of this method in the final.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 1551-1554
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.1551
• Online since: July 2014
• Authors: Fa Chao Li*, Ming Li, Shuo Liu
• Keywords: Attributes Significance, Difference Degree, Information System

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